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Microsoft Research Cambridge

Publications

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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

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL

Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

2021 International Conference on Machine Learning | July 2021

Publication

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

2021 International Conference on Machine Learning | July 2021

Publication

AMP: Authentication of Media via Provenance

Paul England, Henrique S. Malvar, Eric Horvitz, Jack W. Stokes, Cédric Fournet, Rebecca Burke-Aguero, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, John Deutscher, Shabnam Erfani, Matt Gaylor, Andrew Jenks, Kevin Kane, Elissa M. Redmiles, Alex Shamis, Isha Sharma, Sam Wenker, Anika Zaman

12th ACM Multimedia Systems Conference | July 2021

Publication

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman

MSR-TR-2021-15 | July 2021

Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference

Project Project

Publication

Domain Generalization using Causal Matching

Divyat Mahajan, Shruti Tople, Amit Sharma

International Conference on Machine Learning (ICML) | July 2021

Github Project Project

Publication

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro

ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021

Project Project Project Project

Publication

Optimal transport for causal discovery

Ruibo Tu, Kun Zhang, Hedvig Kjellstrom, Cheng Zhang

| July 2021

Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference

Publication

Grey-box Extraction of Natural Language Models

Santiago Zanella-Béguelin, Shruti Tople, Andrew Paverd, Boris Köpf

International Conference on Machine Learning | July 2021

Editor(s): Marina Meila and Tong Zhang