Publication Provable RL with Exogenous Distractors via Multistep Inverse Dynamics Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford ICLR 2022 | October 2021
Publication From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan HCOMP 2021 | September 2021 Project
Publication Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
Publication Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann 2021 International Conference on Machine Learning | July 2021 Source code available at: https://github.com/microsoft/NTT Video Github Project
Publication Statistical Estimation from Dependent Data Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis 2021 International Conference on Machine Learning | July 2021
Publication Interaction-Grounded Learning Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad 2021 International Conference on Machine Learning | July 2021
Publication Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts. Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys July 2021
Publication Benign Overfitting of Constant-Stepsize SGD for Linear Regression Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade 2021 Conference on Learning Theory | July 2021
Publication Integrating explanation and prediction in computational social science Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni Nature | June 2021, Vol 595(7866): pp. 181-188
Publication LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi NeurIPS 2021 | June 2021
