Mapping Instructions to Actions in 3d Environments with Visual Goal Prediction D Misra, A Bennett, V Blukis, E Niklasson, M Shatkhin, Y Artzi
arXiv preprint arXiv:1809.00786, 2018
203 2018 Deep Generalized Method of Moments for Instrumental Variable Analysis A Bennett, N Kallus, T Schnabel
Advances in neural information processing systems 32, 2019
158 2019 CHALET: Cornell House Agent Learning Environment C Yan, D Misra, A Bennett, A Walsman, Y Bisk, Y Artzi
arXiv preprint arXiv:1801.07357, 2018
112 2018 Following high-level navigation instructions on a simulated quadcopter with imitation learning V Blukis, N Brukhim, A Bennett, RA Knepper, Y Artzi
arXiv preprint arXiv:1806.00047, 2018
65 2018 Off-policy evaluation in infinite-horizon reinforcement learning with latent confounders A Bennett, N Kallus, L Li, A Mousavi
International Conference on Artificial Intelligence and Statistics, 1999-2007, 2021
55 2021 Proximal reinforcement learning: Efficient off-policy evaluation in partially observed markov decision processes A Bennett, N Kallus
Operations Research 72 (3), 1071-1086, 2024
46 2024 Detecting misflagged duplicate questions in community question-answering archives D Hoogeveen, A Bennett, Y Li, K Verspoor, T Baldwin
Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018
38 2018 The Variational Method of Moments A Bennett, N Kallus
arXiv preprint arXiv:2012.09422, 2020
28 2020 Policy evaluation with latent confounders via optimal balance A Bennett, N Kallus
Advances in neural information processing systems 32, 2019
28 2019 LexSemTM: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning A Bennett, T Baldwin, JH Lau, D McCarthy, F Bond
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
23 2016 Future-dependent value-based off-policy evaluation in pomdps M Uehara, H Kiyohara, A Bennett, V Chernozhukov, N Jiang, N Kallus, ...
Advances in neural information processing systems 36, 15991-16008, 2023
21 2023 Efficient policy learning from surrogate-loss classification reductions A Bennett, N Kallus
International conference on machine learning, 788-798, 2020
21 2020 Minimax Instrumental Variable Regression and A Bennett, N Kallus, X Mao, W Newey, V Syrgkanis, M Uehara
The Thirty Sixth Annual Conference on Learning Theory, 2291-2318, 2023
20 2023 Inference on strongly identified functionals of weakly identified functions A Bennett, N Kallus, X Mao, W Newey, V Syrgkanis, M Uehara
arXiv preprint arXiv:2208.08291, 2022
13 2022 Source condition double robust inference on functionals of inverse problems A Bennett, N Kallus, X Mao, W Newey, V Syrgkanis, M Uehara
arXiv preprint arXiv:2307.13793, 2023
11 2023 Provable safe reinforcement learning with binary feedback A Bennett, D Misra, N Kallus
International Conference on Artificial Intelligence and Statistics, 10871-10900, 2023
9 2023 Have you tried neural topic models? Comparative analysis of neural and non-neural topic models with application to COVID-19 Twitter data A Bennett, D Misra, N Than
arXiv preprint arXiv:2105.10165, 2021
7 2021 Preferred answer selection in stack overflow: Better text representations... and metadata, metadata, metadata S Xu, A Bennett, D Hoogeveen, JH Lau, T Baldwin
Proceedings of the 2018 EMNLP workshop w-NUT: The 4th workshop on noisy user …, 2018
7 2018 VQ-TR: Vector Quantized Attention for Time Series Forecasting K Rasul, A Bennett, P Vicente, U Gupta, H Ghonia, A Schneider, ...
The Twelfth International Conference on Learning Representations, 2024
4 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes A Bennett, N Kallus, M Oprescu, W Sun, K Wang
arXiv preprint arXiv:2404.00099, 2024
3 2024