manuelgr

manuelgr's Stars

• socialfoundations/folktables

  Datasets derived from US census data

  Language:Python24172118

• Networks-Learning/memorize

  Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019

  Language:Jupyter Notebook17914528

• COVID19Tracking/covid-tracking

  urlwatch configuration to monitor state COVID-19 data

  Language:Python106191623

• covid19-model/simulator

  Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022

  Language:Python7417833

• aangelopoulos/ltt

  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

  Language:Jupyter Notebook643310

• aangelopoulos/conformal-risk

  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

  Language:Python60516

• Networks-Learning/strategic-decisions

  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.

  Language:Jupyter Notebook27505

• zerobase-io/smart-tracing

  Privacy-First Contact Tracing to Keep Communities Safe

  Language:TypeScript271024613

• Networks-Learning/counterfactual-llms

  Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.

  Language:Jupyter Notebook181

• Networks-Learning/counterfactual-explanations-mdp

  Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021

  Language:Jupyter Notebook16203

• Networks-Learning/counterfactual-tpp

  Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022

  Language:Jupyter Notebook15303

• ying531/selcf_paper

  A repository for reproducing the results in Selection by Prediction paper

  Language:Python15202

• jjcherian/fairaudit

  Statistical inference for fairness auditing

  Language:Python11101

• Networks-Learning/improve-expert-predictions-conformal-prediction

  Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023

  Language:Jupyter Notebook8324

• Networks-Learning/prediction-powered-ranking

  Code for "Prediction-Powered Ranking of Large Language Models", NeurIPS 2024.

  Language:Jupyter Notebook8301

• socialfoundations/training-on-the-test-task

  Code to reproduce the experiments in the paper Training on the Test Task Confounds Evaluation and Emergence.

  Language:Jupyter Notebook70

• Networks-Learning/counterfactual-continuous-mdp

  Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.

  Language:Python6101

• Networks-Learning/regression-under-assistance

  Code and data for "Regression under human assistance", AAAI 2020

  Language:Jupyter Notebook6413

• LequnWang/Improve-Screening-via-Calibrated-Subset-Selection

  Language:Python3102

• Networks-Learning/cfact-inference-second-opinions

  Code for "Counterfactual Inference of Second Opinions", UAI 2022

  Language:Python3101

• Networks-Learning/differentiable-learning-under-triage

  Code and real data for "Differentiable Learning Under Triage", NeurIPS 2021

  Language:Jupyter Notebook3202

• Networks-Learning/human-aligned-calibration

  Code for "Human-Aligned Calibration for AI-Assisted Decision Making", NeurIPS 2023

  Language:Python3102

• Networks-Learning/Improve-Screening-via-Calibrated-Subset-Selection

  Code for "Improving Screening Processes via Calibrated Subset Selection", ICML 2022

  Language:Python3001

• Networks-Learning/within-group-monotonicity

  Code for "On the Within-group Discrimination of Screening Classifiers", ICML 2023

  Language:Python3201

• cicl-stanford/counterfactual_decisions

  Materials for "That was close! A counterfactual simulation model of causal judgments about decisions" by Sarah A. Wu, Shruti Sridhar, & Tobias Gerstenberg (CogSci 2022)

  Language:Python2001

• Networks-Learning/counterfactual-prediction-sets

  Code for "Designing Decision Support Systems Using Counterfactual Prediction Sets". ICML 2024.

  Language:Python2201

• Networks-Learning/towards-human-ai-complementarity-predictions-sets

  Code for "Towards Human-AI Complementarity with Prediction Sets", NeurIPS 2024

  Language:Python240

• MPI-SWS/improve-expert-predictions-conformal-prediction

  Code for "Provably Improving Expert Predictions with Conformal Prediction" , arXiv:2201.12006

  Language:Jupyter Notebook1000

• Networks-Learning/counterfactually-harmless-matching

  Code for "Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes", arXiv 2024

  Language:Python1100

• Networks-Learning/pooled-testing

  Code for "Pooled Testing of Traced Contacts Under Superspreading Dynamics", PLOS Computational Biology

  Language:Jupyter Notebook1201