ML in Practice Reading Group

PI Matthew Engelhard

Purpose

To understand and develop machine learning methods that help us model high-dimensional clinical data to support clinical practice.

Format

  • ~30 minute presentation + ~30 minutes for questions, discussion, and brainstorming
  • Presentation guidelines are here
  • The guidelines can also be used as a presentation template (source)

Upcoming Presentations

Date Paper Presenter
Sep 20, 2024 Neural Optimal Transport Mengying
Sep 27, 2024 TBD Aditya
Oct 4, 2024 On Multi-Armed Bandit Designs for Dose-Finding Clinical Trials Riddhiman
Oct 11, 2024 None FALL BREAK
Oct 18, 2024 Hyperbolic Contrastive Learning for Visual Representations beyond Objects Angel
Oct 25, 2024 TBD Qin
Nov 1, 2024 None CBB RETREAT
Nov 8, 2024 TBD Boyao
Nov 15, 2024 Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming Christine
Nov 22, 2024 TBD Yuankang
Nov 29, 2024 None THANKSGIVING BREAK
Dec 6, 2024 TBD Elliot
Dec 13, 2024 TBD Zigui

Past Presentations

Date Paper Presenter Slides
Sep 13, 2024 From t-SNE to UMAP with contrastive learning Scott Sun Damrich ICLR 2023
Aug 30, 2024 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Yuqi Li Curth AISTATS 2023
Apr 26, 2024 Contrastive Clustering Ya-Yun Huang Li AAAI 2021
Apr 19, 2024 Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome Qin Weng Lyu Biometrics 2023
Apr 12, 2024 Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality Mian Wei Jin ICSDS 2023
Apr 05, 2024 On the Limitations of Temperature Scaling for Distributions with Overlaps Muthu Chidambaram NA (Chalk Talk)
Mar 29, 2024 Optimal Transport for Domain Adaptation Mengying Yan Courty PAMI 2015
Mar 08, 2024 Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Elliot Hill Agarwal ICLR 2021
Mar 01, 2024 Rare Event Detection using Disentangled Representation Learning Scott Sun Hamaguchi CVPR 2019
Feb 23, 2024 Bayesian information sharing enhances detection of regulatory associations in rare cell types Aditya Parekh Wu Bioinformatics 2021
Feb 16, 2024 Variational Inference with Normalizing Flows Alexander Thomson Rezende ICML 2015
Feb 9, 2024 Invariant representation learning for treatment effect estimation Yuqi Li Shi UAI 2021
Feb 2, 2024 TS2Vec: Towards Universal Representation of Time Series Yuankang Zhao Yue AAAI 2022
Jan 26, 2024 Minimax AUC Fairness: Efficient Algorithm With Provable Convergence Luke Wang Yang AAAI 2023
Dec 15, 2023 Contrastive Learning Inverts the Data Generating Process Qin Weng Zimmerman ICML 2021
Dec 8, 2023 Efficient Streaming Language Models with Attention Sinks Huan Liang Xiao arXiv 2023
Dec 1, 2023 How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU Joao Vitor Perez De Souza Tonekaboni CHIL 2022
Nov 17, 2023 Retentive Network: A Successor to Transformer for Large Language Models Boyao Li Su 2023
Nov 10, 2023 Partial Optimal Transport with Applications on Positive-Unlabeled Learning Mengying Yan Chapel NeurIPS 2020
Nov 3, 2023 RoFormer: Enhanced Transformer with Rotary Position Embedding Xi Liang Su 2021
Oct 27, 2023 Offline Reinforcement Learning as One Big Sequence Modeling Problem Elliot Hill Janner NeurIPS 2021
Oct 20, 2023 EHR foundation models improve robustness in the presence of temporal distribution shift De Rong Loh Guo Scientific Reports 2023
Oct 6, 2023 Deep Cox Mixtures for Survival Regression Mufan Wang Nagpal MLHC 2021
Sep 23, 2023 Generative Oversampling for Imbalanced Data via Majority-Guided VAE Scott Sun Ai AISTATS 2023
Sep 15, 2023 Health System-Scale Language Models are All-Purpose Prediction Engines Angel Huang Jiang Nature 2023
Sep 8, 2023 Predicting Rare Events by Shrinking Towards Proportional Odds Quinn Lanners Faletto ICML 2023
Apr 10, 2023 Deep Unsupervised Learning using Nonequilibrium Thermodynamics Alex Thomson Sohl-Dickstein ICML 2015
Apr 3, 2023 MetaFormer is Actually What You Need for Vision Boyao Li Yu CVPR 2022
Mar 27, 2023 Learning Representations for Time Series Clustering Yuankang Zhao Ma Neurips 2019
Mar 20, 2023 Multi-Time Attention Networks for Irregularly Sampled Time Series Elliot Hill Shukla ICLR 2021
Mar 6, 2023 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Scott Sun Tashiro Neurips 2021
Feb 27, 2023 CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation Mengying Yan Singh Neurips 2021
Feb 20, 2023 Adversarial Discriminative Domain Adaptation Yuqi Li Tzeng CVPR 2017
Feb 13, 2023 Transformer Hawkes Process Zhengyi (Gloria) Gu Zuo ICML 2020
Feb 6, 2023 Leveraging Time Irreversibility with Order-Contrastive Pre-training Matthew Engelhard Agrawal AISTATS 2022