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Andrew Bennett
Andrew Bennett
Morgan Stanley
Verified email at morganstanley.com - Homepage
Title
Cited by
Cited by
Year
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
1852018
Deep Generalized Method of Moments for Instrumental Variable Analysis
A Bennett, N Kallus, T Schnabel
Advances in neural information processing systems 32, 2019
1302019
CHALET: Cornell House Agent Learning Environment
C Yan, D Misra, A Bennett, A Walsman, Y Bisk, Y Artzi
arXiv preprint arXiv:1801.07357, 2018
1042018
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
622018
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
482021
Proximal reinforcement learning: Efficient off-policy evaluation in partially observed markov decision processes
A Bennett, N Kallus
Operations Research 72 (3), 1071-1086, 2024
372024
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
372018
The Variational Method of Moments
A Bennett, N Kallus
arXiv preprint arXiv:2012.09422, 2020
232020
Policy evaluation with latent confounders via optimal balance
A Bennett, N Kallus
Advances in neural information processing systems 32, 2019
222019
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
222016
Efficient policy learning from surrogate-loss classification reductions
A Bennett, N Kallus
International conference on machine learning, 788-798, 2020
192020
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
162024
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
112023
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
82022
Provable safe reinforcement learning with binary feedback
A Bennett, D Misra, N Kallus
International Conference on Artificial Intelligence and Statistics, 10871-10900, 2023
62023
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
62018
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
52021
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
42023
Automatically identifying health-and clinical-related content in wikipedia
F Liu, S Moosavinasab, S Agarwal, AS Bennett, H Yu
MEDINFO 2013, 637-641, 2013
12013
Low-rank MDPs with Continuous Action Spaces
M Oprescu, A Bennett, N Kallus
International Conference on Artificial Intelligence and Statistics, 4069-4077, 2024
2024
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