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Discover the Ultimate Conformal Prediction Resource: All-in-One and Expertly Curated ๐ ๐ ๐ ๐ ๐
Explore the most extensive professionally curated collection on Conformal Prediction, featuring top-notch tutorials, videos, books, papers, articles, courses, websites, conferences, and open-source libraries in Python, R, and Julia. Uncover the hidden gems and master the art of Conformal Prediction with this all-encompassing guide. Experience the Pinnacle of Conformal Prediction Expertise: A Resource Crafted by a Pro.
This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing in Conformal Prediction under the supervision of its creator, Prof. Vladimir Vovk. Since 2015, I have painstakingly gathered these invaluable resources, and upon completing my PhD (my thesis, "Machine Learning for Probabilistic Prediction," can be found in the "Theses" section), I am thrilled to share my expertise with the global machine learning community. Immerse yourself in a professionally curated collection that has been honed through years of dedication and experience.
Conformal Prediction goes back to Kolmogorov's notion of randomness described in two papers : 1) Andrei Kolmogorov (1968). "Logical basis for information theory and probability theory." IEEE Transactions on Information Theory IT-14:662-664 and 2) Andrei Kolmogorov (1983). "Combinatorial foundations of information theory and the calculus of probabilities." Russian Mathematical Surveys 38(4):29-4.
Conformal Prediction has transcended its niche status in just a few years, experiencing exponential growth thanks to the tireless efforts of renowned ambassadors like Prof. Larry Wasserman in academia. It has taken center stage with dedicated tracks at ICML2021 and ICML2022, as well as a captivating keynote address 'Conformal Prediction in 2022' at NeurIPS2022 by Professor Emmanuel Candes. Furthermore, the main conference on Conformal Prediction (COPA) has enjoyed a successful run for over 11 years. Join the vibrant community at the forefront of this rapidly evolving field.
Awesome Conformal Prediction takes pride in being cited within the highly acclaimed book on Machine Learning, "Probabilistic Machine Learning: Advanced Topics" by leading Google research scientist and best-selling Machine Learning author Kevin Murphy (boasting over 80K Google Scholar citations). Discover the exceptional quality of our resources, as acknowledged within the pages of the machine learning 'bible'.
Conformal Prediction has transcended its niche status in just a few years, experiencing exponential growth thanks to the tireless efforts of renowned ambassadors like Prof. Larry Wasserman in academia. It has taken center stage with dedicated tracks at ICML2021 and ICML2022, as well as a captivating keynote address 'Conformal Prediction in 2022' at NeurIPS2022 by Professor Emmanuel Candes. Furthermore, the main conference on Conformal Prediction (COPA) has enjoyed a successful run for over 11 years. Join the vibrant community at the forefront of this rapidly evolving field.
**Check out my book that can now be preordered on Amazon **
Connect and Share the Excitement of Conformal Prediction
I'm enthusiastically promoting the wonderful world of Conformal Prediction (because it truly is awesome) across various social media platforms, including LinkedIn and Twitter. You can find all my research on ResearchGate, and I occasionally share insights from the data science trenches in the industry on Medium. I warmly invite you to connect with me and help spread the word about the fascinating field of Conformal Prediction.
A Warm Invitation to Support and Share: Star the Repo and Spread the Word
Please consider starring ๐ the repo and sharing it with others who might be interested. If you utilize the repository in a scientific publication, kindly cite Awesome Conformal Prediction to further promote this incredible framework within both academia and industry. Your support is invaluable in advancing the awareness and appreciation of Conformal Prediction:
Manokhin, Valery. (2022). Awesome Conformal Prediction (v1.0.0). Zenodo. https://zenodo.org/record/6467205 https://doi.org/10.5281/zenodo.6467205
Bibtex entry export https://zenodo.org/record/6467205/export/hx
@software{manokhin_valery_2022_6467205, author = {Manokhin, Valery}, title = {Awesome Conformal Prediction}, month = apr, year = 2022, note = {{"If you use Awesome Conformal Prediction, please cite it as below."}}, publisher = {Zenodo}, version = {v1.0.0}, doi = {10.5281/zenodo.6467205}, url = {https://doi.org/10.5281/zenodo.6467205} }
Slack for Awesome Conformal Prediction
Please reach out to rahul_vishwakarma@icloud.com if you have issues with Slack link and need invite to the Slack.
Why Conformal Prediction?
One of the most influential and celebrated machine learning researchers - Professor Michael I. Jordan:
'๐๐ผ๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐น ๐ฃ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐ผ๐ป ๐ถ๐ฑ๐ฒ๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐ง๐๐ ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐๐ผ ๐จ๐ค (๐๐ป๐ฐ๐ฒ๐ฟ๐๐ฎ๐ถ๐ป๐๐ ๐พ๐๐ฎ๐ป๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป), ๐ ๐๐ต๐ถ๐ป๐ธ ๐ถ๐'๐ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐ ๐ต๐ฎ๐๐ฒ ๐๐ฒ๐ฒ๐ป - ๐ถ๐๐ ๐๐ถ๐บ๐ฝ๐น๐ฒ, ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น๐ถ๐๐ฎ๐ฏ๐น๐ฒ ๐ฒ๐๐ฐ.' (ICML 2021 UQ workshop). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
One the most influential statistics Professors - Larry Wasserman (Carnegie Mellon):
'๐ฆ๐ผ ๐๐ต๐ฒ ๐ฏ๐ฒ๐ฎ๐๐๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฐ๐ผ๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐น ๐๐ต๐ถ๐ป๐ด ๐ถ๐ ๐ต๐ผ๐ ๐๐ถ๐บ๐ฝ๐น๐ฒ ๐ถ๐ ๐ถ๐ ๐๐ผ ๐ฑ๐ผ ๐ถ๐ ๐ฎ๐ป๐ฑ ๐ต๐ผ๐ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ถ๐ ๐ถ๐. ๐ฆ๐ผ ๐ ๐๐ต๐ถ๐ป๐ธ ๐๐ผ๐ ๐ธ๐ป๐ผ๐ ๐ถ๐ฑ๐ฒ๐ฎ๐ ๐๐ต๐ฎ๐ ๐ฐ๐ฎ๐๐ฐ๐ต ๐ผ๐ป, ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ถ๐ฑ๐ฒ๐ฎ๐ ๐๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฒ ๐ฝ๐ฟ๐ฒ๐๐๐ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ฎ๐ป๐ฑ ๐๐๐ฌ๐ฒ ๐ญ๐จ ๐ข๐ฆ๐ฉ๐ฅ๐๐ฆ๐๐ง๐ญ ๐ญ๐ก๐๐ญ ๐ฒ๐จ๐ฎ ๐๐๐ง ๐ฉ๐ข๐๐ญ๐ฎ๐ซ๐ ๐ฒ๐จ๐ฎ๐ซ๐ฌ๐๐ฅ๐ ๐ฎ๐ฌ๐ข๐ง๐ ๐ข๐ง ๐ซ๐๐๐ฅ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ซ๐ ๐ญ๐ก๐ ๐ซ๐๐๐ฌ๐จ๐ง ๐ญ๐ก๐๐ญ ๐ฉ๐๐จ๐ฉ๐ฅ๐ ๐ฎ๐ฌ๐ข๐ง๐ ๐๐จ๐ง๐๐จ๐ซ๐ฆ๐๐ฅ ๐ฉ๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง.' ๐๐๐๐๐
'Conformal inference methods are becoming all the rage in academia and industry alike. In a nutshell, these methods deliver exact prediction intervals for future observations without making any distributional assumption whatsoever other than having iid, and more generally, exchangeable data.'
Prof. Emmanual Candes (Stanford) - Neurips 2022 key talk.
https://slideslive.com/icml-2021/workshop-on-distributionfree-uncertainty-quantification
An Impressive Endorsement: Conformal Prediction's Growing Appeal in Academia and Industry
When highly respected professors from top research labs worldwide express their support for conformal prediction, it speaks volumes about its credibility and potential.
As for its industry applications, Conformal Prediction has already been powering Microsoft Azure's primary anomaly detection offering for several years. With exponential growth in academia during 2021-2022 and the increasing availability of open-source libraries, it's clear that the industry is poised for a similar surge in adoption.
๐ข๐ข Attention, industry professionals: The revolution in Uncertainty Quantification, Probabilistic Prediction, and Forecasting is here, and it's making waves! ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Embrace the future of machine learning with Conformal Prediction. What about the industry one might ask - Conformal Prediction already for several years powers the main anomaly detection proposition in Microsoft Azure.
Table of Contents
Events
The 12th Symposium on Conformal and Probabilistic Prediction with Applications is the main conference on Conformal Prediction and takes place in Cyprus. PAPER SUBMISSIONS ARE OPEN.
Books
- Practical Guide to Applied Conformal Prediction: Learn and apply the best uncertainty frameworks to your industry applications by Valeriy Manokhin (2024) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Algorithmic Learning in a Random World by Vladimir Vovk and Alex Gammerman, also Glenn Shafer (2005). Second edition in progress. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Reliable Machine Learning by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk (2014) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal predictive distributions with kernels by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Chapter in 'Braverman Readings in Machine Learning. Key Ideas from Inception to Current State', Springer, 2018). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Confidence, Likelihood, Probability by Tore Schweder and Nils Lid Hjort (University of Oslo, 2016). Not directly about Conformal Prediction but a great book about modern frequentist methods. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Introduction To Conformal Prediction With Python by Christoph Molnar (2023). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Probabilistic Machine Learning: Advanced Topics by Kevin Murphy (2022) has a chapter on conformal prediction. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Theses
- Machine Learning for Probabilistic Prediction, PhD Thesis, Valery Manokhin (Royal Holloway, UK, 2022)
- Conformal and Venn Predictors for large, imbalanced and sparse chemoinformatics data, PhD Thesis, Paolo Toccaceli (Royal Holloway, UK, 2021)
- Competitive online algorithms for probabilistic prediction, PhD Thesis, Raisa Dzhamtyrova (Royal Holloway, UK, 2020)
- Conformal Prediction and Testing under On-line Compression Models, PhD Thesis, Valentina Fedorova (Royal Holloway, UK, 2014)
- Adaptive Online Learning, PhD Thesis, Dmitry Adamskiy (Royal Holloway, UK, 2013)
- On discovery and exploitation of temporal structure in data sets, PhD Thesis, Tim Scarfe, (Royal Holloway, UK, 2015)
- Black-box Security Measuring Black-box Information Leakage via Machine Learning,PhD Thesis, Giovanni Cherubin (Royal Holloway, UK, 2019)
- Small and Large Scale Probabilistic Classifiers with Guarantees of Validity, PhD Thesis, Ivan Petej (Royal Holloway, UK, 2019)
- Confidence and Venn Machines and Their Applications to Proteomics by Devetyarov, Dmitry (Royal Holloway, UK, 2019)
- Conformal Anomaly Detection - detecting abnormal trajectories in surveillance applications by Rikard Laxhammar (University of Skoeve, Sweden, 2014)
- Inductive Confidence Machine for Pattern Recognition - is it the next step towards AI by David Surkov (Royal Holloway, UK, 2004)
- Distribution Free Prediction Intervals for Multiple Functional Regression by Ryan Kelly (University of Pittsburgh, 2020).
- Probabilistic Load Forecasting with Deep Conformalized Quantile Regression by Vilde Jensen (Artcic University of Norway, 2021)
- Model-free methods for multiple testing and predictive inference, PhD Thesis, Zhimei Ren (Stanford, 2021)
- Comparison of Support Vector Machines and Deep Learning For QSAR with Conformal Prediction by Deligianni Maria, MSc thesis, Universit of Uppsala (2022)
- Predictive Maintenance with Conformal and Probabilistic Prediction: A Commercial Case Study by James Gammerman (2022)
- Risk-Sensitive Decision-Making for Autonomous-Driving by Hardy Hasan (University of Uppsala, 2022)
- Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction, MSc thesis by Roel Hulsman, University of Oxford (2022)
- Coreset-based Protocols for Machine Learning Classification, PhD thesis by Nery Riquelme Granada (Royal Holloway, University of London, 2022)
- Conformal survival predictions at a user-controlled time point by Jelle Van Miltenburg (KTH ROYAL INSTITUTE OF TECHNOLOGY, 2018)
- Reliable Machine Learning with ConformalPrediction: A Review with Contributions by Martim Sousa (2022)
- Nonconformity Measures and Ensemble Strategies - An Analysis of Conformal Predictor Efficiency and Validity, PhD thesis by Henrik Linusson (Stockholm University, 2021)
- Determine and explain confidence in predicting violations on inland ships in the Netherlands by Bakker, Paul (TU Delft, 2020)
Tutorials
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos and Stephen Bates (2021) Video Code
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos and Stephen Bates (2021)
- A Tutorial on Conformal Predictive Distributions by Paolo Toccaceli (2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predication Tutorial by Henrik Linusson (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Henrik Linusson: Conformal Prediction by Henrik Linusson (2020)
- Predicting with Confidence - Henrik Bostrรถm by Henrik Bostrรถm (2016)
- Venn Predictors Tutorial by Ulf Johansson, Cecilia Sรถnstrรถd, Tuve Lรถfstrรถm, and Henrik Bostrรถm (2021)
- Ulf Johansson: Venn Predictors by Ulf Johansson (2020)
- A Tutorial on Conformal Prediction by Glenn Shafer and Vladimir Vovk (2008) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana1 and Simone Vantini (Politecnico di Milano, Italy, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in Spark by Marco Capuccini (Uppsala University, 2017)
- Tutorial on Venn-ABERS prediction by Paolo Toccaceli (Royal Holloway, UK, 2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- An Introduction to Conformal Prediction by Henrik Linusson (2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Introduction to Conformal Prediction by Vineeth N Balasubramanian (Indian Institue of Technology, Hyderabad, 2015)
- Conformal prediction A Tiny Tutorial on Predicting with Confidence by Henrik Linusson and Ulf Johansson (2014)
- Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios Angelopoulos (Berkeley, 2022)
- A Tutorial on Conformal Prediction Part 2: Conditional Coverage and Diagnostics by Anastasios Angelopoulos and Stephen Bates (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Beyond Conformal Prediction: Tutorial on Conformal Part 3 by Anastasios Angelopoulos and Stephen Bates (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Getting predictions intervals with conformal inference by Rajiv Shah (2022) YouTube Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Uncertainty estimation in NLP by Tal Schuster, Adam Fisch (MIT, USC, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Regression prediction intervals with MAPIE on Kaggle by Carl McBride Ellis, PhD
- Distribution-free inference tutorial At the IFDS 2021 Summer School Video 1 Video 2
- Conformal Inference Tutorial by Ben Kompa (2020)
- Prediction intervals for any machine learning model - How to construct prediction intervals with the Jackknife+ using the MAPIE package by Kjell Jorner (ETH, 2022)
- Conformal Prediction: A Gentle Introduction by Anastasios N. Angelopoulos and Stephen Bates (2023)
Courses
- Uncertain: Modern topics in uncertainty estimation YouTube Course notes by Aaron Roth (University of Pennsylvania, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Topics in Modern Statistical Learning by Edgar Dobriban (Wharton Business School, University of Pennsylvania, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Theory of Statistics Stanford Statistics course by Prof Emmanuel Candes (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 36-708 Statistical Methods for Machine Learning Carnegie-Mellon course by Prof Larry Wasserman (2022)
- Course on Conformal Prediction by Christoph Molnar (2022)
- Conformal Prediction - Advanced Topics in Statistical Learning, Spring 2023 by Ryan Tibshiran (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Videos
- Treatment of Uncertainty in the Foundations of Probability by Vladimir Vovk (Royal Holloway, UK, 2017)
- Large-Scale Probabilistic Prediction With and Without Validity Guarantees by Vladimir Vovk (Royal Holloway, UK, NeurIPS 2015) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal testing in a binary model situation by Vladimir Vovk (Royal Holloway, UK, 2021)
- Protected probabilistic classification by Vladimir Vovk (Royal Holloway, UK, 2021)
- Retrain or not retrain: conformal test martingales for change-point detection by Vladimir Vovk (Royal Holloway, UK, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A Tutorial on Conformal Prediction by Anastasios Angelopoulos and Stephen Bates (Berkeley, ICML 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Steps Toward Trustworthy Machine Learning by Tom Dietterich (2021)
- A Tutorial on Conformal Predictive Distributions by Paolo Toccaceli (Royal Holloway, UK, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction Tutorial by Henrik Linusson (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Henrik Linusson: Conformal Prediction by Henrik Linusson (2020)
- Predicting with Confidence - Henrik Bostrรถm by Henrik Bostrรถm (2016)
- How to increase certainty in predictive modeling by Emmanuel Candes (Stanford, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Recent Progress in Predictive Inference by Emmanuel Candes (Stanford, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Some recent progress in predictive inference" (Stanford) @ MAD+ by Emmanuel Candes (Stanford, 2020)
- Conformal Prediction in 2020 by Emmanuel Candes (Stanford, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Assumption-free prediction intervals for black-box regression algorithms by Aaditya Ramdas (Carnegie Mellon, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019 by Maria Navarro (2019)
- Conformal Prediction: Enhanced Method for Understanding the Prediction Quality by Artem Ryasik and Greg Landrum
- Venn Predictors Tutorial by Ulf Johansson, Cecilia Sรถnstrรถd, Tuwe Lรถfstrรถm, and Henrik Bostrรถm (2021)
- Mondrian conformal predictive distributions by Henrik Bostrรถm, Ulf Johansson, and Tuwe Lรถfstrรถm (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Calibrating Multi-Class Models by Ulf Johansson, Tuwe Lรถfstrรถm, and Henrik Bostrรถm (2021)
- Conformal testing in a binary model situation by Vladimir Vovk (Royal Holloway, UK, 2021)
- Conformal prediction in Orange by Tomaลพ Hoฤevar and Blaลพ Zupan (2021)
- Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (Stanford, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction and Distribution-Free Calibration by Aaditya Ramdas (Carnegie Mellon, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Reliable Diagnostics by Conformal Predictors by Alexander Gammerman (Royal Holloway, UK, 2015)
- Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (Stanford, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Inference of Counterfactuals and Time-to-event Outcomes by Lihua Lei (Stanford, 2021)
- Algo Hour โ Conformal Inference of Counterfactuals and Individual Treatment Effect by Lihua Lei (Stanford, 2021)
- Conformal Inference of Counterfactuals and Individual Treatment effects(Stanford) by Lihua Lei (Stanford, 2021)
- Approximation to object conditional validity with inductive conformal predictors by Anthony Bellotti (University of Nottingham Ningbo, China, 2021)
- Ulf Johansson: Venn Predictors by Ulf Johansson (Jรถnkรถping University, Sweden, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Transformer-based conformal predictors for paraphrase detection by Patrizio Giavannotti and Prof. Alexander Gammerman (Royal Holloway, UK, 2021)
- Conformal Inference of Counterfactuals and Individual Treatment Effects by Lihua Lei (Stanford, 2020)
- Model-Free Predictive Inference by Larry Wasserman (Carnegie Mellon, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Shapley-value based inductive conformal prediction by William Lopez Jaramillo (2021)
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Assumption-Free, High-Dimensional Inference by Larry Wasserman (2016)
- Neural Predictive Monitoring under Partial Observability by Francesca Cairolli (2021)
- Conformalized Kernel Ridge Regression and Its Efficiency by Evgeny Burnaev (Skolkovo, Russia, 2015)
- Fast conformal classification using influence functions by Giovanni Cherubin (Alan Turing Institute, UK, 2021)
- Valid inferential models and conformal prediction by Ryan Martin (North Carolina State University, USA, 2021)
- Mondrian conformal predictive distributions by Henrik Bostrรถm, Ulf Johansson and Tuwe Lรถfstrรถm (KTH Royal Institute of Technology, Sweden, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Evaluation of updating strategies for conformal predictive systems in the presence of extreme events by Hugo Werner, Lars Carlsson, Ernst Ahlberg and and Henrik Bostrรถm (KTH Royal Institute of Technology, Sweden, 2021)
- Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data by Victor Chernozhukov (MIT, USA, 2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Ulf Johansson: Venn Predictors by Ulf Johansson (Jรถnkรถping University, Sweden, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Class-wise confidence for debt prediction in real estate management by Soundouss Messoudi (2021)
- How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers by Marharyta Aleksandrova (2021)
- Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta (Carnegie Mellon, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Panel with Michael I. Jordan, Vladimir Vovk, and Larry Wasserman, moderated by Aaditya Ramdas by Vladimir Vovk, Larry Wasserman, Michael I. Jordan, Aaditya Ramdas, ICML 2021 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Black-box uncertainty - Anastasios Angelopoulos by Anastasios Angelopoulos (Berkeley, USA, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- P.C. Mahalanobis Memorial Lectures 2020-21 by Vladimir Vovk (Royal Holloway, UK, 2021)
- Rahul Vishwakarma: New Perspective on Machine Learning Predictions Under Uncertainty | SNIA Storage Developer Conference, Santa Clara 2019 by Rahul Vishwakarma (2019)
- Fast conformal classification using influence functions by Umang Bhatt, Adrian Weller and Giovanni Cherubin (Cambridge / Alan Turinig Institute, 2021).
- Adaptive Conformal Predictions for Time Series | ISDFS by Margaux Zaffran (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅCode
- Recent progress in predictive inference by Emmanuel Candes, Stanford University (2022)
- Conformalized Survival Analysis with Adaptive Cutoffs by Rina Foygel Barber, Zhimei Ren, Yu Gui and Rohan Hore, University of Chicago (2022)
- Calibrating probabilistic hierarchical forecasts with conformal predictions by Daan Ferdinandusse (University of Amsterdam, 2022)
- Michael I. Jordan on Conformal Prediction by Michael I. Jordan (Berkeley, 2022)
- Distribution-free Prediction: Exchangeability and Beyond by Rina Foygel Barber (University of Chicago, 2022)
- Purdue Statistics Theme Seminar, Conformal Prediction in 2022 by Emmanuel Candes (Stanford, 2022)
- WILL MY ROBOT ACHIEVE MY GOALS? PREDICTING THE PROBABILITY THAT AN MDP POLICY REACHES A USER-SPECIFIED BEHAVIOR TARGET by Alexander Guyer and Thomas G. Dietterich (University of Oregon, 2022)
- Robust and Equitable Uncertainty Estimation by Aaron Roth(2022)
- Conformal prediction under feedback covariate shift for biomolecular design by Clara Wong-Fannjiang (Berkeley, 2022)
- Conformal prediction in 2022 invited talk by Emmanuel Candes at NeurIPS2022 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Broadening the Scope of Conformal Inference by Michael I. Jordan (University of Berkeley, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Paper Reading Group - Fortuna, a Library for Uncertainty Quantification
- CLIMB Evergreen talk with Emmanuel Candรจs: Conformal Inference when Data is not Exchangeable TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Algo Hour โ Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei
- 'MoroccoAI webinar - Dr. Soundouss Messoudi - 'Confidence learning using conformal prediction'
- Emmanuel Candes - A Taste of Conformal Prediction by Emmanuel Candes (2023)
Papers
- Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination by Ulf Norinder, Lars Carlsson, Scott Boyer, and Martin Eklund (2014)
- Uncertainty Sets for Image Classifiers using Conformal Prediction by Anastasios N. Angelopoulos, Stephen Bates, Jitendra Malik, & Michael I. Jordan (Berkeley, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction Under Covariate Shift by Ryan Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas (Carnegie Mellon, Stanford, Chicago, 2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Regression Conformal Prediction with Nearest Neighbours by Harris Papadopoulos, Vladimir Vovk and Alex Gammerman (Royal Holloway, UK, 2014)
- Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta, Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Cross-conformal predictive distributions by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin and Alexander Gammerman (Royal Holloway, UK, 2018) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Criteria of Efficiency for Conformal Prediction by Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, and Alex Gammerman ((Royal Holloway, UK, 2016)
- Conformal Prediction for Simulation Models by Benjamin LeRoy and Chad Schafer (Carnegie Mellon, 2021)
- Distribution-free, risk-controlling prediction sets Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik and Michael I Jordan (Berkeley, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conditional calibration for false discovery rate control under dependence by William Fithian and Lihua Lei (Stanford, 2021)
- Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana and S. Vantini (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Regression conformal prediction with random forests by Ulf Johansson, Henrik Bostrรถm, Tuve Lรถfstrรถm and Henrik Linusson (2014)
- A conformal prediction approach to explore functional data by Jing Lei, Alessandro Rinaldo, Larry Wasserman (Carnegie Mellon, 2013)
- An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhana,c, Zhan Wanga, Meng Yangb, Zhiyuan Luod, You Wanga, Guang Li (2020)
- Predicting the Rate of Skin Penetration Using an Aggregated Conformal Prediction Framework by Martin Lindh, A. Karlรฉn, Ulf Norinder (2017)
- The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2014) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distributional conformal prediction by Victor Chernozhukov, Kaspar Wรผthrich, Yinchu Zhu (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, and Alexander Gammerman (2009)
- Conformal prediction interval estimation and applications to day-ahead and intraday power markets by Christopher Kath, Florian Ziel (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2013)
- Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman (Royal Holloway, UK, 2014)
- Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana1 and Simone Vantini (Politecnico di Milano, Italy, 2021)
- Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
- Conformal prediction with localization by Leying Guan (Yale, 2020)
- Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018)
- Binary classification of imbalanced datasets using conformal prediction by Ulf Norinder, Scott Boyer (2017)
- Discretized conformal prediction for efficient distribution-free inference by Wenyu Chen, Kelli-Jean Chun, and Rina Foygel Barber (2017)
- Validity, consonant plausibility measures, and conformal prediction by Leonardo Cella. and Ryan Martin (2021)
- Conformal Prediction Classification of a Large Data Set of Environmental Chemicals from ToxCast and Tox21 Estrogen Receptor Assays by Ulf Norinder, Scott Boyer (2016)
- Conformal prediction to define applicability domain โ A case study on predicting ER and AR binding by U. Norinder, A. Rybacka, P.Andersson (2016)
- Conformal prediction of biological activity of chemical compounds by Paolo Toccaceli, Ilia Nouretdinov, Alex Gammerman (Royal Holloway, UK, 2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Introducing conformal prediction in predictive modeling for regulatory purposes. A transparent and flexible alternative to applicability domain determination by Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund (2015)
- Aggregated Conformal Prediction by Lars CarlssonMartin EklundUlf Norinder (2014)
- Interpretation of Conformal Prediction Classification Models by Ernst Ahlberg, Ola Spjuth, Catrin Hasselgren, Lars Carlsson (2015)
- Cross-Conformal Prediction with Ridge Regression by Harris Papadopoulos (2015)
- Sparse conformal prediction for dissimilarity data by Frank-Michael Schleif, Xibin Zhu and Barbara Hammer (2015)
- Effective utilization of data in inductive conformal prediction using ensembles of neural networks by Tuve Lรถfstrรถm, Ulf Johansson and Henrik Bostrรถm (2013)
- Beyond the Basic Conformal Prediction Framework by Vladimir Vovk (2014)
- An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhan, Zhan Wang, Meng Yang, Zhiyuan Luo, You Wang, Guang Li (Stanford, Royal Holloway, China University of Mining and Technology, 2020)
- Predicting with confidence: Using conformal prediction in drug discovery by Jonathan Alvarsson, Staffan Arvidsson McShane, Ulf Norinder, Ola Spjuth (2021)
- Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Zhang Wei, Meng Yang, Zhiyuan Luo, Guang Li (2020)
- Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery by Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey and Andrew R. Leach (2019)
- Deep Conformal Prediction for Robust Models by Soundouss Messoudi, Sylvain Rousseau and Sรฉbastien Destercke (2020)
- Strong validity, consonance, and conformal prediction by Leonardo Cella and Ryan Martin (2020)
- Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules by Anke Wilm, U. Norinder, M. Agea, Christina de Bruyn Kops, Conrad Stork, J. Kรผhnl, J. Kirchmair (2020)
- Conformal prediction based active learning by linear regression optimization by Sergio Matiz, Kenneth E.Barner (2020)
- Conformal prediction intervals for the individual treatment effect by Danijel Kivaranovic, Robin Ristl, Martin Poschb, Hannes Leeb (2020)
- Nearest neighbor based conformal prediction by Lรกszlรณ Gyรถrfi and Harro Walk (2020)
- Concepts and Applications of Conformal Prediction in Computational Drug Discovery by Isidro Cortรฉs-Ciriano and Andreas Bender (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project by Ulf Norinder, Ernst Ahlberg, Lars Carlsson (2018)
- Nested Conformal Prediction and the Generalized Jackknife by Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2019)
- Predictive inference with the jackknife+ by Rina Foygel Barber, Emmanuel Candรจs, Aaditya Ramdas, and Ryan Tibshirani (2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valery Manokhin and Min-ge Xie (Royal Holloway, UK, Rutgers, USA, 2018) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A Distribution-Free Test of Covariate Shift Using Conformal Prediction by Xiaoyu Hu and Jing Lei (Peking Univerity, China and Carnegie Mellon, USA, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
- Conformal prediction with localization by Leying Guan (2020)
- Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction by Ulf Norinder, Fredrik Svensson
- Conformal prediction of HDAC inhibitors by U. Norinder, J.J.Navaka, E. Lopez-Lopez, D. Mucs & J.L. Medina-Franco (2019)
- Computing Full Conformal Prediction Set with Approximate Homotopy by Eugene Ndiaye, Ichiro Takeuchi (2019)
- Conformal Prediction Based on Raman Spectra for the Classification of Chinese Liquors by Jiao Gu, Huaibo Liu, Chaoqun Ma, Lei Li, Chun Zhu, Christ Glorieux, Guoqing Chen (2019)
- Efficient and minimal length parametric conformal prediction regions by Daniel Eck and Forrest Crawford (2019)
- Conformal Prediction for Students' Grades in a Course Recommender System by Raphael Morsomme and Evgueni Smirnov (2019)
- Efficient iterative virtual screening with Apache Spark and conformal prediction by Laeeq Ahmed, Valentin Georgiev, Marco Capuccini, Salman Toor, Wesley Schaal, Erwin Laure and Ola Spjuth (2018)
- Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction by Samuel Lampa, Jonathan Alvarsson, Staffan Arvidsson Mc Shane, Arvid Berg, Ernst Ahlberg, Ola Spjuth (2018)
- Maximizing gain in high-throughput screening using conformal prediction by Fredrik Svensson, Avid M. Afzal1, Ulf Norinder and Andreas Bender (2018)
- Conformalized Survival Analysis by Emmanuel Candรจs, Lihua Lei and Zhimei Ren (2021) R-Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Random Forest Prediction Intervals by Haozhe Zhangโ , Joshua Zimmermanโ , Dan Nettletonโ and Daniel J. Nordmanโ (Iowa State University, USA, 2019)
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (DeepMind), Krishnamurthy Dvijotham, Ali Taylan Cemgil and Arnaud Doucet (2021)
- Comparing the Bayes and typicalness frameworks by Thomas Melluish, Craig Saunders, Ilia Nouretdinov, and Volodya Vovk (Royal Holloway, UK, 2001). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Large-scale probabilistic predictors with and without guarantees of validity by Vladimir Vovk, Ivan Petej, and Valentina Fedorova (Royal Holloway, Yandex, NeurIPS) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Wei Zhang, Meng Yang, Zhiyuan Luo and Guang Li (2020)
- Conformal Prediction using Conditional Histograms by Matteo Sesia and Yaniv Romano (NeurIPS 2021 paper). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Valid prediction intervals for regression problems by Nicolas Dewolf, Bernard De Baets, Willem Waegeman (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Application of conformal prediction interval estimations to market makersโ net positions by Wojciech Wisniewski, David Lindsay, Sian Lindsay (Royal Holloway, UK, 2020)
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (NeurIPS, 2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distribution-Free Federated Learning with Conformal Predictions by Charles Lu and Jayashree Kalpathy-Cramer (2022)
- Coreset-based Conformal Prediction for Large-scale Learning by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2019)
- Fast probabilistic prediction for kernel SVM via enclosing balls by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2020)
- Conformalized density- and distance-based anomaly detection in time-series data by Evgeny Burnaev, Vladislav Ishimtsev (2016)
- Predictive Inference with Weak Supervision by Maxime Cauchois, Suyash Gupta, Alnur Ali and John Duchi (Stanford, 2022)
- Conformal Prediction in Clinical Medical Sciences by Janette Vazquez and Julio C. Facelli University of Utah, 2022)
- Provably Improving Expert Predictions with Conformal Prediction by Eleni Straitouri, Lequng Wang, Nastaran Okati and Manuel Gomez Rodriguez (Max Planck Institute for Software Systems / Cornell University, 2021).
- Conformal predictive distributions with kernels by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Royal Holloway, UK, 2017)
- Multi-class probabilistic classification using inductive and cross VennโAbers predictors by Valery Manokhin (Royal Holloway, UK, 2017). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Computationally efficient versions of conformal predictive distributions by Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Royal Holloway, UK, 2019).
- Cover your cough: detection of respiratory events with confidence using a smartwatch by Khuong An Nguyen, Zhiyuan Luo (Royal Holloway, 2019).
- Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction by Ulf Norinder and Petra Norinder (2022)
- Conformal Prediction for the Design Problem by Clara Fannjianga, Stephen Batesa, Anastasios Angelopoulosa, Jennifer Listgartena and Michael I. Jordan (Berkeley, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging by Anastasios N. Angelopoulos, Amit Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano (Berkeley and Technion, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal predictive decision making by Vladimir Vovk and Claus Bendtsen (2018).
- The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting by Alnur Ali1, Maxime Cauchois and John C. Duchi (Stanford, 2022)
- E-values: Calibration, combination, and applications by Vladimir Vovk (Royal Holloway) and Ruodu Wang (University of Waterloo) (2019)
- Conformal Prediction Sets with Limited False Positives by Adam Fisch, Tal Schuster, Tommi Jaakkola and Regina Barzilay (MIT / Google Research, 2022)
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (EDF / INRIA / CMAP, France, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Code
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (Arctic University of Norway, 2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Python Code
- Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors by Staffan Arvidsson, Ola Spjuth, Lars Carlsson and Paolo Toccaceli (University of Uppsala, Astra Zeneca, Royal Holloway, 2017)
- Probabilistic Prediction in scikit-learn by Sweidan, Dirar and Ulf Johansson. ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Valid model-free spatial prediction by Huiying Mao, Ryan Martin and Brian J Reich (2020)
- Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Calibration of Natural Language Understanding Models with VennโABERS Predictors by Patrizio Giovannotti (Royal Holloway, UK, 2022) NLP
- Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅCode
- Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Efficient Conformal Prediction via cascaded inference with expanded admission by Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay (MIT 2021]. Python Code
- Split Localized Conformal Prediction by Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu (University of Texas, 2022). Python Code
- Three Applications of Conformal Prediction for Rating Breast Density in Mammography by Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Crame (2022)
- Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Recommendation systems with distribution-free reliability guarantees) by Anastasious Angelopolous, Karl Krauth, Stephen Bates, Yixin Wang and Michael I. Jordan (Berkeley 2022)
- Model Agnostic Conformal Hyperparameter Optimization by Riccardo Doyle (Spotify, 2022)
- Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets by Charles Lu, Anastasios N. Angelopoulos, Stuart Pomerantz (2022)
- Conformal Off-Policy Prediction in Contextual Bandits by Muhammad Faaiz Taufiq, Jean-Franรงois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet (Oxford, 2022) Video presentation
- Training Uncertainty-Aware Classifiers with Conformalized Deep Learning by Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou (Technion, USCLA 2022) Video presentation; Code
- Semantic uncertainty intervals for disentangled latent space by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, and Phillip Isola (Unversity of Berkeley, Technion, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- MAPIE: an open-source library for distribution-free uncertainty quantification by Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas Brunel (Quantmetry, France, 2022)
- CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Confident Adaptive Language Modeling by Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler (Google, MIT, 2022j
- Probabilistic Conformal Prediction Using Conditional Random Samples by Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei (Columbia University, 2020) Code
- A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting by Martim Sousa, Ana Maria Tome and Jose Moreira (University of Aveiro, 2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A novel Deep Learning approach for one-step Conformal Prediction approximation by Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis and Zhiyuan Luo (University of Brighton, UK, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Risk Control by Anastasious Angelopolous, Stephen Bates, Adam Fisch, Lihua Lei and Tal Schuster (Berkeley, Stanford, MIT and Google Research, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- CD-split and HPD-split: Efficient Conformal Regions in High Dimensions by Rafael Izbicki, Gilson Shimizu, Rafael B. Stern (San Carlos University Brazil, 2022)
- Flexible distribution-free conditional predictive bands using density estimators by Rafael Izbicki, Gilson Shimizu, and Rafael B. Stern (San Carlos University Brazil, 2020)
- Split Conformal Prediction for Dependent Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, Joรฃo Vitor Romano (IMPA, Rio de Janeiro, Brazil, 2022)
- Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs and Emmanual Candes (Stanford, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomรฉ, University of Aveiro (2022) Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning by Alice E. Ashby, Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo, Werner Gentzk (University of Brighton, 2022)
- Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Bostroem and Ulf Johansson (2022)
- Conformal prediction for hypersonic flight vehicle classification by Zepu Xi, Xuebin Zhuang, Hongbo Chen (Yat-sen University, Guangzhou, China, 2022) Slides
- Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
- Conformal Prediciton beyond exchangeability by Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas, Ryan J. Tibshirani (2022)
- Robust Gas Demand Forecasting with Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
- Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and Joรฃo Vitor Romano (2022)
- Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers by Ziyi Liang, Matteo Sesia, Wenguang Sun (UCLA, 2022)
- Conformal Prediction Bands for Two-Dimensional Functional Time Series by Niccolo` Ajroldia, Jacopo Diquigiovannib, Matteo Fontanac, Simone Vantinia (2022)
- Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester (2022)
- Ellipsoidal conformal inference for Multi-Target Regression by Soundouss Messoudi, Sebastien Destercke, Sylvain Rousseau (2022) Slides
- Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey by Sophia Sun (UCLA, 2022)
- [Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images(https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9103229) by Hรฅkan Wieslander , Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Markus Fridรฉn, Johan Karlsson, Ola Spjuth, and Carolina Wรคhlby (2021)
- Audioโvisual domain adaptation using conditional semi-supervised Generative Adversarial Networks by Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis (2022)
- Conformal Prediction is Robust to Label Noise by Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano (2022)
- Copula Conformal Prediction for Multi-step Time Series Forecasting TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Batch Multivalid Conformal Prediction by Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth (Stanford, university of Pensylvania, 2022)
- Selection by Prediction with Conformal p-values by Ying Jin1 and Emmanuel J. Candes, (Stanford, 2022) Video
- Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction by Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone (2022)
- Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Noah Arc Huawei, 2022)
- Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples by Fatih Furkan Yilmaz, and Reinhard Heckel (Rice University / University of Munuch, 2022)
- Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains by Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar (2022)
- Predictive inference with feature conformal prediction (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods by Alex Contarino, Christine Schubert Kabban, Chancellor Johnstone and Fairul Mohd-Zaid (2022)
- Spatio-Temporal Wildfire Prediction using Multi-Modal Data by Chen Xu1, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, and Feng Qiu (2022)
- Calibrating AI models for few-shot demodulation via conformal prediction Kfir M. Cohen1, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai (2022)
- Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples Code
- Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction by Wenlu Tang, Guohao Shen, Yuanyuan Lin and Jian Huang (The Hong Kong Polytechnic University, 2022)
- Safe Planning in Dynamic Environments using Conformal Prediction by Lars Lindemann, Matthew Cleavelandโ, Gihyun Shim, and George J. Pappas (University of Pensylvania, 2022)
- Conformal prediction under feedback covariate shift for biomolecular design by Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos,and Michael I. Jordan (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predictor for Improving Zero-shot Text Classification Efficiency by Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani (Saleforce AI Research and Hugging Face, 2022)
- Bayesian Optimization with Conformal Coverage Guarantees by Samuel Stanton, Wesley Maddox and Andrew Gordon Wilson (Genentech, New York University, 2022) Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability by Ibai Lanaa, Ignacio (In ฬaki) Olabarrietaa, Javier Del Sera (2022)
- Training Uncertainty-Aware Classifiers with Conformalized Deep Learning by Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia and Yanfei Zhou (Technion/UCLA, NeurIPS 2022 paper) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Huawei Noahโs Ark Lab Canada, NeurIPS 2022 paper) Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Engineering Uncertainty Representations to Monitor Distribution Shifts by Thomas Bonnier and Benjamin Bosch (Sociรฉtรฉ Gรฉnรฉrale, 2022)
- CONffusion: CONFIDENCE INTERVALS FOR DIFFUSION MODELS ProjectCode by Eliahu Horwitz, Yedid Hoshen (Hebrew University of Jerusalem, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Semantic uncertainty intervals for disentangled latent spaces by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola (MIT, Berkeley, Technion, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- But are you sure? An uncertainty-aware perspective on explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang (Bernie) Wang, Stefano Ermon, Jun Huan (2022)
- Calibrating AI Models for Wireless Communications via Conformal Prediction by Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone and Shlomo Shamai (2022)
- Predicting Endocrine Disruption Using Conformal Prediction โ A Prioritization Strategy to Identify Hazardous Chemicals with Confidence by Maria Sapounidou, Ulf Norinder and Patrick Andersson (2022)
- Conformal Loss-Controlling Prediction by Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hongyue Li (2023)
- ROBUST AND SCALABLE UNCERTAINTY ESTIMATION WITH CONFORMAL PREDICTION FOR MACHINE-LEARNED INTERATOMIC POTENTIALS Code by Yuge Hu, Joseph Musielewicz, Zachary Ulissi, Andrew J. Medford (Georgia Institute of Technology/Carnegie Mellon University, 2022)
- Clustering of Trajectories using Non-Parametric Conformal DBSCAN Algorithm by Haotian Wang, Jie Gao, Min-ge Xie Rutgers University, 2022)
- But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Jun Huan (2022)
- Prediction-Powered Inference by Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic (Universify of Berkeley, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Trustworthy Detection of Railway Signals by Leo Andeol, Thomas Fel, Florence de Grancey, Luca Mossina (Institute de Mathematiques de Toulouse, SCNF, 2022)
- Conformal inference is (almost) free for neural networks trained with early stopping by Ziyi Liang, Yanfei Zhouโ , Matteo Sesia (University of Southern California, 2022)
- PAC Prediction Sets for Large Language Models of Code by Adam Khakhar, Stephen Mell, Osbert Bastani (University of Pennsylvania, 2023)
- Physics Constrained Motion Prediction with Uncertainty Quantification by Renukanandan Tumu, Lars Lindemannโ , Truong Nghiem, Rahul Mangharam, (2023)
- Accelerating difficulty estimation for conformal regression forests by Henrik Bostroem, Henrik Linusson, Tuve Loefstroem, Ulf Johansson (2017)
- Conformal prediction for exponential families and generalized linear models
- How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control by Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam (John Hopkins University, 2023) Code
- Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction Code R package
- From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling by Ernsting et.al. (2023)
- Conformal prediction for STL runtime verification by Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas (University of Pennsylvania/University of Southern California, 2022)
- Adaptive Conformal Prediction for Motion Planning among Dynamic Agents by Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J Pappas, Joel W Burdick (California Institute of Technology/University of Pennsylvania, 2022)
- Classification with Valid and Adaptive Coverage Code by Yaniv Romano, Matteo Sesia, Emmanuel Candes (Neurips, 2020) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Risk Control for Online Learning Models by Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano (2023)
- Derandomized novelty detection with FDR control via conformal e-values by Meshi Bashari, Amir Epstein, Yaniv Romano, and Matteo Sesia (2023)
- Sensititivty analysis of individual treatment effects: A robust conformal inference approach Code by Ying Jin, Zhimei Ren and Emmanual Candes (2023)
- Improving Adaptive Conformal Prediction Using Self-Supervised Learning by Nabeel Seedat, Alan Jeffares, Fergus Imrie and Mihaela van der Schaar (Cambridge, 2023) Video Code
- [Learning by Transduction - of the of earliest conformal prediction papers] (https://dl.acm.org/doi/10.5555/2074094.2074112#sec-comments) by Alex Gammerman, Vladimir Vovk and Vladimir Vapnik (Royal Holloway, University of London, 1998) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Hedging Predictions in Machine Learning by Alexander Gammerman and Vladimir Vovk (2008) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction by Ulf Norinder, Glenn Myatt and Ernst Ahlberg
- Improved Online Conformal Prediction via Strongly Adaptive Online Learning by Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai (2023) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Fortuna: A Library for Uncertainty Quantification in Deep Learning by Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias Seeger, Andrew Gordon Wilson, Cedric Archambeau (2023)
- Conformal inference is (almost) free for neural networks trained with early stopping by Ziyi Liang, Yanfei Zhou, Matteo Sesia (2023)
- Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes by Mahmoud Shoush and Marlon Dumas (University of Tartu,2022)
- Machine-Learning Applications of Algorithmic Randomness by Vladimir Vovk, Alex Gammerman and Craig Saunders (1999) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- On the universal distribution of the coverage in split conformal prediction by Paulo C. Marques F. (2023)
- Lightweight, Uncertainty-Aware Conformalized Visual Odometry by Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, and Amit Ranjan Trivedi (University of Illinois Chicago, 2023)
- Group conditional validity via multi-group learning by Samuel Deng, Navid Ardeshir, Daniel Hsu (Columbia University, 2023)
- Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis by Subhankar Ghosh, Taha Belkhouj, Yan Yan, Janardhan Rao Doppa (Washington State University, 2023)
- Mondrian conformal regressors by Henrik Bostrรถm, Ulf Johansson (2020)
- Mondrian Conformal Predictive Distributions by Henrik Bostrรถm, Ulf Johansson, Tuwe Lรถfstrรถm (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Prediction by Reweighting Nonconformity Score by Salim I. Amoukou, Nicolas J.B Brunel (2023) Code
- Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation by Heng Yang and Marco Pavone (NVIDIA, 2023)
- A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum by Xiaoyu Hu and Jing Lei (Peking University and Carnegie Mellon University, 2023)
- Conformalized Semi-Supervised Random Forest For Classification and Abnormality Detection (2023)
- How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam (John Hopkins University, 2023)
- Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction by Shuo Yang, George J. Pappas, Rahul Mangharam, and Lars Lindemann (University of Pennsylvania, 2023)
- Conformal Prediction Regions for Time Series using Linear Complementarity Programming by Matthew Cleaveland, Insup Lee, George J. Pappasโ , and Lars Lindemann (University of Pennsylvania, 2023)
- Development and Evaluation of Conformal Prediction Methods for QSAR by Yuting Xua, Andy Liawa, Robert P. Sheridan (Merck, 2023)
- Multi-Agent Reachability Calibration with Conformal Prediction by Anish Muthali1, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire Tomlin (University of Berkeley, 2023)
- Conformalized Unconditional Quantile Regression by Ahmed M. Alaa, Zeshan Hussain, David Sontag (Berkeley/MIT, 2023).
- Conformal Off-Policy Evaluation in Markov Decision Processes by Daniele Foffano, Alessio Russo and Alexandre Proutiere (KTH, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐๐๐๐๐
- Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park and Osvaldo Simeone (2023) Code QuantumML ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Probabilistic prediction with locally weighted jackknife predictive system by Di Wang, Ping Wang, Pingping Wang, Cong Wang, Zhen He, Wei Zhang ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision by Siddhaarth Sarkar, Arun Kumar Kuchibhotla (2023)
- Conformal Regression in Calorie Prediction for Team Jumbo-Visma by Kristian van Kuijk, Mark Dirksen, Christof Seiler (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Design-based conformal prediction by Jerzy Wieczorek (2023) ๐๐๐๐๐
- Inductive Confidence Machines for Regression by Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman (2002) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐๐๐๐๐
- Model-Agnostic Nonconformity Functionsfor Conformal Classification by Ulf Johansson, Henrik Linusson, Tuve Lรถfstrรถm, Henrik Bostrรถm (2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐๐๐๐๐
- Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study by Marharyta Aleksandrova, Oleg Chertov (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐๐๐๐๐
- Inductive Conformal Prediciton: A Straightforward Introduction with examples in Python by Martim Sousa (2022) Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐๐๐๐๐
- Closing the Loop on Runtime Monitors with Fallback-Safe MPC by Rohan Sinha, Edward Schmerling, and Marco Pavone (Standord, 2023)
- Calibrated Explanations: with Uncertainty Information and Counterfactuals by Helena Lรถfstrรถm, Tuwe Lรถfstrรถm, Ulf Johansson, Cecilia S ฬonstr ฬod (2023) Code ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Optimizing Hyperparameters with Conformal Quantile Regression by David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau (Amazon Science, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens by Andreas Luttens, Israel Cabeza de Vaca, Leonard Sparring, Ulf Norinder, Jens Carlsson (2023) Code Datasets ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Predicting skin sensitizers with confidence โ Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018) ๐๐๐๐๐
- Confidence-based Prediction of Antibiotic Resistance at the Patient-level Using Transformers by J.S. Inda-Diaz, A. Johnning, M. Hessel, A. Sjo ฬberg, A. Lokrantz, L. Hellda, M. Jirstrand, L. Svensson and E. Kristiansson (Chalmers University of Technology and University of Gothenburg/Centre for Antibiotic Resistance Research (CARe), 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Framework based on conformal predictors and power martingales for detection of fixed football matches by I. Zhuk, O. Chertov (2023)
- Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems by Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized matrix completion by Yu Gui, Rina Foygel Barber, and Cong Ma (University of Chicago, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Papers_Time_Series
- Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Python Code Video Video ICML2021
- Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) Video NeurIPS2021 Video TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (2022). TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (2022) Python Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Video
- Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Code
- Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data by Victor Chernozhukov (MIT), Kaspar Wuethrich (University of California, San Diego) and Yinchu Zhu (University of Oregon) (2018) Video
- Distributional Conformal Prediction by Chernozhukov (MIT), Kaspar Wuethrich (University of California, San Diego) and Yinchu Zhu (University of Oregon) (2022)
- Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market by Jacopo Diquigiovanni (University of Padua) Matteo Fontana (Joint Research Centre - European Commission) Simone Vantini (Politecnico di Milano) (2021)
- CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomรฉ, University of Aveiro (2022) Code TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
- Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
- Conformal Prediction Bands for Two-Dimensional Functional Time Series by Niccolo` Ajroldia, Jacopo Diquigiovannib, Matteo Fontanac, Simone Vantinia (2022)
- Copula Conformal Prediction for Multi-step Time Series Forecasting TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- [Conformal prediction set for time-series](Conformal prediction set for time-series) by Chen Xu, Yao Xie (Georgia Tech, 2022) Code
- Amazon Fortuna
- Improved Online Conformal Prediction via Strongly Adaptive Online Learning by Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai (2023) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Time Series with Modern Hopfield Networks by Andreas Auer, Martin Gauchl Daniel Klotz, Sepp Hochreiter (Johannes Kepler University, Linz, 2023) ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Presentation_slides
- Machine Learning for Probabilistic Prediction by Valery Manokhin, 2022
- Adaptive Conformal Anomaly Detection for Time-series by Evgeny Burnaev, Alexander Bernstein, Vlad Ishimtsev and Ivan Nazarov (Skoltech, Moscow, Russia, 2017)
- Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie, Ilia Nouretdinov and Alex Gammerman (Royal Holloway, University of London Rutgers University, 2017)
- What Can Conformal Inference Offer to Statistics? by Lihua Lei, Stanford University
- Conformal Regressors and Predictive Systems โ a Gentle Introduction by Henrik Bostroem (KTH, Sweden, 2022)
- Applications of Conformal Predictors by Ernst Ahlberg and Lars Carlsson (Stena Line, 2022)
- crepes: a Python Package for Conformal Regressors and Predictive Systems by Henrik Bostroem (KTH, Sweden, 2022)
- Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Bostrรถm and Ulf Johansson (2022)
- Well-Calibrated Rule Extractors by Ulf Johansson, Tuwe Lรถfstrรถm, Niclas Stรฅhl (2022)
- [Calibration of Natural Language Understanding Models with Venn-ABERS Predictors](Calibration of Natural Language Understanding Models with Venn-ABERS Predictors](https://copa-conference.com/presentations/patrizio.pdf) by Patrizio Giovannotti (2022)
- Reinforcement Learning Prediction Intervals with Guaranteed Fidelity by Thomas Dietterich (University of Oregon, 2022)
- Conformal Prediction beyond exchangeability by Rina Foygel Barber (University of Chicago, 2022)
- Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and Joรฃo Vitor Romano (2022)
- Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester
- Sequential Predictive Conformal Inference for Time Series by Chen Xu, Yao Xie (Georgia Tech, 2022)
- Copula Conformal Prediction for Multi-step Time Series Forecasting by Sophia Sun, Rose Yu (University of California, San Diego, 2022)
- Uncertainty estimation in NLP by Tal Schuster, Adam Fisch (MIT, 2022)
- Conformal Prediction: an Introduction by Leo Andeol (2022)
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran (ICML,2021)
- EnbPI poster by Chen Xu, Yao Xie (2021)
- Machine Learning for Probabilistic Prediction by Valery Manokhin (2023)
Researchers
- Vladimir Vovk, Royal Holloway, United Kingdom
- Alexander Gammerman, Royal Holloway, United Kingdom
- Glenn Shafer, Rutgers University, USA
- Emmanuel Candรจs, Stanford, USA
- Ryan Tibshiriani, Carnegie Mellon, USA
- Yaniv Romano, TechnionโIsrael Institute of Technology
- Michael I. Jordan, Berkeley, USA
- Jitendra Malik, Berkeley, USA
- Anastasios Angelopoulos, Berkeley, USA
- Lihua Lei, Stanford, USA
- Henrik Bostrรถm, KTH, Sweden
- Ulf Johansson, Jรถnkรถping University, Sweden
- Henrik Linusson, University of Borรฅs, Sweden
- Harris Papadopoulos, Frederick University, Cyprus
- Vladimir V'yugin, Institute for Information Transmission Problems (IITP), Russia
- Evgeny Burnaev, Skoltech, Russia
- Aaditya Ramdas, Carnegie Mellon, USA
- Benjamin LeRoy, Carnegie Mellon, USA
- Victor Chernozhukov, MIT, USA
- Ulf Norinder, Stockholm University, Sweden
- Ola Spjuth, Uppsala University, Sweden
- Ilia Nouretdinov, Royal Holloway, United Kingdom
- Matteo Fontana, Joint Research Centre - European Commission
- Yao Xie, Georgia Institute of Technology
- Zhimeo Ren, University of Chicago
- Rafael Izbicki, Federal University of Sรฃo Carlos (UFSCar) Brazil
- Rina Foygel Barber University of Chicago
- Matteo Sesia University of Southern California, Marshall School of Business
Articles
- Measuring Models' Uncertainty: Conformal Prediction by Leo Dreyfus-Schmidt (Dataiku, 2020). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Neural Regression Model by Pranab Ghosh (2021). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to Handle Uncertainty in Forecasts by Michael Berk (2021)
- How to Add Uncertainty Estimation to your Models with Conformal Prediction by Zachary Warnes (2021)
- nonconformist: An easy way to estimate prediction intervals by Maria Jesus Ugarte (2021).
- Detecting Weird Data: Conformal Anomaly Detection by Matthew Burruss (2020).
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You by Samuele Mazzanti (2022). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- With MAPIE, uncertainties are back in machine learning by Vianney Taquet (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression by Samuele Mazzanti (2022). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Stanford statisticians and Washington Post data scientists build more honest prediction models Stanford (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to Detect Anomalies โ state-of-the-art methods using Conformal Prediction by Valery Manokhin (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to calibrate your classifier in an intelligent way by Valery Manokhin (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction forecasting with MAPIE by Valery Manokhin (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to predict full probability distribution using machine learning Conformal Predictive Distributions by Valery Manokhin (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- How to predict quantiles in a more intelligent way (or โBye-bye quantile regression, hello Conformal Quantile Regression by Valery Manokhin (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in Julia, Part I - Introduction by Patrick Altmeyer (2022)
- Getting predictions intervals with conformal inference by Rajiv Shah (2022)
- How to Conformalize a Deep Image Classifier by Patrick Altmeyer (2022)
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need by Marco Cerliani (2022)
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier by Patrick Altmeyer (2022)
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model by Patrick Altmeyer (2022)
- Probabilistic Forecasting with Conformal Prediction and NeuralProphet by Valery Manokhin (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need by Marco Cerliani (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TQA: Creating Valid Prediction Intervals for Cross-sectional Time Series Regression by Zhen Lin (UIUC, NeurIPSโ22 paper) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction: A Critic to Predictive Models (2023)
- Multi-horizon Probabilistic Forecasting with Conformal Prediction and NeuralProphet by Valery Manokhin TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Putting clear bounds on uncertainty (MIT, 2023)
- Conformal prediction theory explained by Artem Ryasik (2023)
- Easy Distribution-Free Conformal Intervals for Time Series by Michael Keith (2023)
- Another (Conformal) Way to Predict Probability Distributions by Harrison Hoffman (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- [How to use full (transductive) Conformal Prediction])(https://valeman.medium.com/how-to-use-full-transductive-conformal-prediction-7ed54dc6b72b) by Valery Manokhin (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Regression (using KNIME) by Artem Ryasik (2023)
- Dynamic Conformal Intervals for any Time Series Model by Michael Keith (2023) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Kaggle
- Kaggle Notebook showcasing Conformal Predictive Distributions on Playground Series Season 3, Episode 1 (California Housing data) competition by Valeriy Manokhin (2022)
- Kaggle Notebook showcasing Venn-ABERs Conformal Prediction on Playground Series Season 3, Episode 2 (Stroke prediction) competition
- Regression prediction intervals with MAPIE by Carl McBride Ellis (2022)
Websites
- Main website with research from Prof. Vladimir (Volodya) Vovk ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction - Prediction with guaranteed performance Royal Holloway, United Kingdom
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Reliable Predictive Inference by Yaniv Romano ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Title: What Can Conformal Inference Offer to Statistics? by Lihua Lei, Stanford, 2022
- Conformalized survival analysis by Lihua Lei, Stanford, 2021
- Conformal Risk Control by Anastasious Angelopolous, Berkeley, 2022
- Stable Conformal Prediction Sets by Eugene Ndiaye (Georgia Tech, 2022)
- Machine learning sucks at uncertainty quantification. But there is a solution that almost sounds too good to be true: conformal prediction by Cristoph Molnar (2022).
- How to correctly, yet efficiently model the uncertainty on predictions by Nico Wolf (2022)
- Top 10 Github libraries for Conformal Prediction by Valeriy Manokhin (2022)
TikTok
- Getting prediction intervals with conformal prediction by Rajiv Shah (Hugging Face,2022)
- Why you want prediction intervals instead of point predictions by Rajiv Shah (Hugging Face,2022)
- Itโs important to make sure your model is well calibrated by Rajiv Shah (Hugging Face,2022)
Conferences & Workshops
- 11th Symposium on Conformal and Probabilistic Prediction with Applications
- IFDS Workshop on Conformal Prediction ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Workshop on Distribution-Free Uncertainty Quantification at ICML 2022 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Workshop on Distribution-Free Uncertainty Quantification at ICML 2021๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 10th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 9th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 8th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 7th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 6th Symposium on Conformal and Probabilistic Prediction with Applications ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Python
- MAPIE - Model Agnostic Prediction Interval Estimator by Quantmetry team (2021) Paper Includes TIME SERIES (EnbPI) ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- 'Crรชpes' - Conformal regressors and predictive systems by Henrik Bostrรถm (2021) Paper ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Presentation by Henrik Bostroem (KTH, Sweden, 2022)
- EnbPI by Chen Xu (2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Paper
- Nonconformist by Henrik Linusson (2015) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Venn-ABERS Predictor by Paolo Toccaceli (2019) Paper ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Quantile Regression by Yaniv Romano (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Classification by Anastasios N. Angelopoulos (2021)
- Orange3 Conformal Prediction
- Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
- Uncertainty Toolbox by Youngseog Chung, Willie Neiswanger, Ian Char and Han Guo (2021)
- TorchUQ is an extensive library for uncertainty quantification (UQ) based on pytorch (2022)
- Multi-class-probabilistic-classification using Venn-ABERS (Conformal) prediction by Valery Manokhin (Royal Holloway, 2022)
- Copula Conformal Multi Target Regression by Soundouss Messoudi (2021)
- Uncertainty Toolbox by Youngseog Chung, Willie Neiswanger, Ian Char and Han Guo (2021)
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems by Mateo Sesia and Yaniv Romano (NeurIPS 2021). ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized density- and distance-based anomaly detection in time-series data (KNN-CAD) by Evgeny Burnaev, Vladislav Ishimtsev (2016). Top #3 winning solution in Numenta competition ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal time-series forecasting by Kamile ฬ Stankeviciute (Cambridge, NeurIPS 2021) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Valid Prediction Intervals by Nicolas Dewolf, Bernard DeBaets, Willem Waegeman (2022) ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ฬron, Yannig Goude, and Julie Josse (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ Video Code
- Conformal learning from scratch by Marharyta Aleksandrova (2021)
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen, Filippo Maria Bianchi and Stian Norman Anfinsen (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- PySloth - Python package for Probabilistic Prediction by Valery Manokhin ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in KNIME
- Nonconformist by Henrik Linusson (2015) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- SKTime by Franz Kiraly (2022)
- NeuralProphet (2022) ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- River 2022
- TorchUQ (2022)
- AWS Fortuna Paper by Amazon, (2022) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Nixtla mlforecast TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- https://github.com/mikekeith52/scalecast TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Puncc (Predictive uncertainty calibration and conformalization) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
R
- Conformal Inference R Project maintained by Ryan Tibshirani (2016) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Prediction Bands by Rafael Izbicki and Benjamin LeRoy (2019)
- Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
- Online Time Series Anomaly Detectors by Alaine Iturria, 2021 ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- piRF - Prediction Intervals for Random Forests by Chancellor Johnstone and Haozhe Zhang (2019)
- conformalClassification: Transductive and Inductive Conformal Predictions for Classification Problems by Niharika Gauraha and Ola Spjuth (2019)
- R Package for Spatial Conformal Prediction
- conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response by Jacopo Diquigiovanni, Matteo Fontana, Aldo Solari, Simone Vantini, Paolo Vergottini, Ryan Tibshirani (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
- cfsurvival - An R package that implements the conformalized survival analysis methodology Paper
- ClusTorus: An R Package for Prediction and Clustering on the Torus by Conformal Prediction by by Seungki Hong and Sungkyu Jung (2022)
- conformal glm - conformal prediction for generalized linear regression models by Daniel Eck (2019)
- caretForecast - Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
- Localized Conformal Prediction - LCP
- conformalbayes - Jackknife(+) Predictive Intervals for Bayesian Models (2022)
- conformal.fd Conformal inference prediction regions for Multiple Functional response regression (2021)
Code-Julia
- ConformalPrediction.jl by Patrick Altmeyer (2022) Article - Conformal Prediction in Julia, Part I - Introduction Article - Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier Article - Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- RandomForest by Henrik Bostrรถm (2017) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Code-Other
- LibCP -- A Library for Conformal Prediction ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- An Implementation of Venn-ABERS predictor ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- LibVM -- A Library for Venn Machine
- Scala-CP by Marco Capuccini (2017)' ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ (see tutorial section 'Conformal Prediction in Spark')
AI-platforms
- Conformal Prediction in Knime Presentation ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Data Robot
- AWS Fortuna by Amazon, (2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Microsoft Azure
Patents
- Rahul Vishwakarma, Method and system for reliably forecasting storage disk failure. US 2021/0034450 A1 United States Patent and Trademark Office, Feb 2021
- Rahul Vishwakarma, Analyzing Time Series Data for Sets of Devices Using Machine Learning Techniques. US 2021/0241929 A1 United States Patent and Trademark Office, Aug 2021
- Rahul Vishwakarma, System and method for prioritizing and preventing backup failures. US 2021/0374568 A1 United States Patent and Trademark Office, Dec 2021