| 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 | 155 | 2018 |
| Deep Generalized Method of Moments for Instrumental Variable Analysis A Bennett, N Kallus, T Schnabel Advances in neural information processing systems 32, 2019 | 117 | 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 | 92 | 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 | 53 | 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 | 40 | 2021 |
| Proximal reinforcement learning: Efficient off-policy evaluation in partially observed markov decision processes A Bennett, N Kallus Operations Research, 2023 | 33 | 2023 |
| 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 | 32 | 2018 |
| 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 | 21 | 2016 |
| Policy evaluation with latent confounders via optimal balance A Bennett, N Kallus Advances in neural information processing systems 32, 2019 | 20 | 2019 |
| The Variational Method of Moments A Bennett, N Kallus arXiv preprint arXiv:2012.09422, 2020 | 17 | 2020 |
| Efficient policy learning from surrogate-loss classification reductions A Bennett, N Kallus International Conference on Machine Learning, 788-798, 2020 | 16 | 2020 |
| Future-dependent value-based off-policy evaluation in pomdps M Uehara, H Kiyohara, A Bennett, V Chernozhukov, N Jiang, N Kallus, ... arXiv preprint arXiv:2207.13081, 2022 | 7 | 2022 |
| 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 | 4 | 2018 |
| Inference on strongly identified functionals of weakly identified functions A Bennett, N Kallus, X Mao, W Newey, V Syrgkanis, M Uehara The Thirty Sixth Annual Conference on Learning Theory, 2265-2265, 2023 | 3 | 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 | 3 | 2021 |
| Provable Safe Reinforcement Learning with Binary Feedback A Bennett, D Misra, N Kallus International Conference on Artificial Intelligence and Statistics, 10871-10900, 2023 | 2 | 2023 |
| Minimax Instrumental Variable Regression and Convergence Guarantees without Identification or Closedness A Bennett, N Kallus, X Mao, W Newey, V Syrgkanis, M Uehara arXiv preprint arXiv:2302.05404, 2023 | 2 | 2023 |
| Automatically identifying health-and clinical-related content in wikipedia F Liu, S Moosavinasab, S Agarwal, AS Bennett, H Yu MEDINFO 2013, 637-641, 2013 | 1 | 2013 |
| 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 | | 2023 |
| Unsupervised All-words Sense Distribution Learning A Bennett The University of Melbourne, 2016 | | 2016 |
