Andrew Bennett
Andrew Bennett
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2023
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2016
Andrew Bennett
,
Nathan Kallus
,
Xiaojie Mao
,
Whitney Newey
,
Vasilis Syrgkanis
,
Masatoshi Uehara
(2023).
Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness
.
arXiv Preprint
.
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Andrew Bennett
,
Nathan Kallus
,
Xiaojie Mao
,
Whitney Newey
,
Vasilis Syrgkanis
,
Masatoshi Uehara
(2022).
Inference on strongly identified functionals of weakly identified functions
.
arXiv Preprint
.
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Andrew Bennett
,
Dipendra Misra
,
Nathan Kallus
(2022).
Provable Safe Reinforcement Learning with Binary Feedback
.
Accepted at AISTATS
.
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Andrew Bennett
,
Nathan Kallus
(2022).
The Variational Method of Moments
.
Minor revision in JRSS:B
.
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Masatoshi Uehara
,
Haruka Kiyohara
,
Andrew Bennett
,
Victor Chernozhukov
,
Nan Jiang
,
Nathan Kallus
,
Chengchun Shi
,
Wen Sun
(2022).
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
.
arXiv Preprint
.
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Andrew Bennett
,
Nathan Kallus
(2021).
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes
.
Major revision in OR
.
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Andrew Bennett
,
Dipendra Misra
,
Nga Than
(2021).
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data
.
The 3rd Workshop on Data Science for Social Good (DSSG-21)
.
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Andrew Bennett
,
Nathan Kallus
,
Lihong Li
,
Ali Mousavi
(2021).
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
.
International Conference on Artificial Intelligence and Statistics (AISTATS)
.
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Andrew Bennett
,
Nathan Kallus
(2020).
Efficient Policy Learning from Surrogate-Loss Classification Reductions
.
International Conference on Machine Learning (ICML)
.
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Andrew Bennett
,
Nathan Kallus
(2019).
Policy Evaluation with Latent Confounders via Optimal Balance
.
Advances in Neural Information Processing Systems (NeurIPS)
.
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Andrew Bennett
,
Nathan Kallus
,
Tobias Schnabel
(2019).
Deep Generalized Method of Moments for Instrumental Variable Analysis
.
Advances in Neural Information Processing Systems (NeurIPS)
.
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Dipendra Misra
,
Andrew Bennett
,
Valts Blukis
,
Eyvind Niklasson
,
Max Shatkhin
,
Yoav Artzi
(2018).
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
.
Conference on Empirical Methods in Natural Language Processing (EMNLP)
.
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Steven Xu
,
Andrew Bennett
,
Doris Hoogeveen
,
Jey Han Lau
,
Timothy Baldwin
(2018).
Preferred answer selection in stack overflow: Better text representations... and metadata, metadata, metadata
.
The 4th Workshop on Noisy User-generated Text (W-NUT), at EMNLP
.
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Valts Blukis
,
Nataly Brukhim
,
Andrew Bennett
,
Ross Knepper
,
Yoav Artzi
(2018).
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning
.
Robotics: Science and Systems (RSS)
.
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Doris Hoogeveen
,
Andrew Bennett
,
Yitong Li
,
Karin M. Verspoor
,
Timothy Baldwin
(2018).
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives
.
The AAAI Conference on Web and Social Media (ICWSM)
.
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Claudia Yan
,
Dipendra Misra
,
Andrew Bennnett
,
Aaron Walsman
,
Yonatan Bisk
,
Yoav Artzi
(2018).
CHALET: Cornell House Agent Learning Environment
.
Technical Report
.
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Andrew Bennett
,
Timothy Baldwin
,
Jey Han Lau
,
Diana McCarthy
,
Francis Bond
(2016).
LexSemTM: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
.
The Annual Meeting of the Association for Computational Linguistics (ACL)
.
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Andrew Bennett
(2016).
Unsupervised All-words Sense Distribution Learning
.
Masters Thesis
.
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