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 | 202 | 2018 |
Deep Generalized Method of Moments for Instrumental Variable Analysis A Bennett, N Kallus, T Schnabel Advances in neural information processing systems 32, 2019 | 155 | 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 | 111 | 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 |
Policy evaluation with latent confounders via optimal balance A Bennett, N Kallus Advances in neural information processing systems 32, 2019 | 28 | 2019 |
The Variational Method of Moments A Bennett, N Kallus arXiv preprint arXiv:2012.09422, 2020 | 27 | 2020 |
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 | 22 | 2016 |
Efficient policy learning from surrogate-loss classification reductions A Bennett, N Kallus International conference on machine learning, 788-798, 2020 | 21 | 2020 |
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, 2024 | 20 | 2024 |
Minimax Instrumental Variable Regression and Convergence Guarantees without Identification or Closedness 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 | 8 | 2023 |
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 |
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 | 5 | 2021 |
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 | 2 | 2024 |
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, 0 | 2 | |