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The MultiBERTs: BERT Reproductions for Robustness Analysis

Jun 30, 2021
Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick

* Checkpoints and example analyses: 

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Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests

Jun 02, 2021
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein

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SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression

Mar 23, 2021
Steve Yadlowsky, Taedong Yun, Cory McLean, Alexander D'Amour

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Deep Cox Mixtures for Survival Regression

Jan 16, 2021
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

* NeurIPS Machine Learning for Health Workshop (ML4H) 2020 

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Underspecification Presents Challenges for Credibility in Modern Machine Learning

Nov 06, 2020
Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

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Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding

Mar 12, 2020
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill

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Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data

Dec 15, 2019
Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune, Lu Tian

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Derivative free optimization via repeated classification

Apr 11, 2018
Tatsunori B. Hashimoto, Steve Yadlowsky, John C. Duchi

* At AISTATS2018 

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