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Andrew Bennett
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Publications
- 2023
- [c21]Andrew Bennett, Dipendra Misra, Nathan Kallus:
Provable Safe Reinforcement Learning with Binary Feedback. AISTATS 2023: 10871-10900 - [c20]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Inference on Strongly Identified Functionals of Weakly Identified Functions. COLT 2023: 2265 - [c19]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness. COLT 2023: 2291-2318 - [c18]Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun:
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. NeurIPS 2023 - [i15]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness. CoRR abs/2302.05404 (2023) - [i14]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Source Condition Double Robust Inference on Functionals of Inverse Problems. CoRR abs/2307.13793 (2023) - [i13]Andrew Bennett, Nathan Kallus, Miruna Oprescu:
Low-Rank MDPs with Continuous Action Spaces. CoRR abs/2311.03564 (2023) - 2022
- [i12]Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun:
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. CoRR abs/2207.13081 (2022) - [i11]Andrew Bennett, Dipendra Misra, Nathan Kallus:
Provable Safe Reinforcement Learning with Binary Feedback. CoRR abs/2210.14492 (2022) - 2021
- [c17]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. AISTATS 2021: 1999-2007 - [i10]Andrew Bennett, Dipendra Misra, Nga Than:
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data. CoRR abs/2105.10165 (2021) - [i9]Andrew Bennett, Nathan Kallus:
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes. CoRR abs/2110.15332 (2021) - 2020
- [c16]Andrew Bennett, Nathan Kallus:
Efficient Policy Learning from Surrogate-Loss Classification Reductions. ICML 2020: 788-798 - [i8]Andrew Bennett, Nathan Kallus:
Efficient Policy Learning from Surrogate-Loss Classification Reductions. CoRR abs/2002.05153 (2020) - [i7]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. CoRR abs/2007.13893 (2020) - [i6]Andrew Bennett, Nathan Kallus:
The Variational Method of Moments. CoRR abs/2012.09422 (2020) - 2019
- [c15]Andrew Bennett, Nathan Kallus, Tobias Schnabel:
Deep Generalized Method of Moments for Instrumental Variable Analysis. NeurIPS 2019: 3559-3569 - [c14]Andrew Bennett, Nathan Kallus:
Policy Evaluation with Latent Confounders via Optimal Balance. NeurIPS 2019: 4827-4837 - [i5]Andrew Bennett, Nathan Kallus, Tobias Schnabel:
Deep Generalized Method of Moments for Instrumental Variable Analysis. CoRR abs/1905.12495 (2019) - [i4]Andrew Bennett, Nathan Kallus:
Policy Evaluation with Latent Confounders via Optimal Balance. CoRR abs/1908.01920 (2019) - 2018
- [c12]Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. EMNLP 2018: 2667-2678 - [c10]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. Robotics: Science and Systems 2018 - [i3]Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi:
CHALET: Cornell House Agent Learning Environment. CoRR abs/1801.07357 (2018) - [i2]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. CoRR abs/1806.00047 (2018) - [i1]Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. CoRR abs/1809.00786 (2018)
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