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ORCIDAndrew Bennett
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2020 – today
- 2024
[j8]Andrew Bennett, Nathan Kallus
:
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes. Oper. Res. 72(3): 1071-1086 (2024)- [j7]Amanda K. Triplett, Georgios Artavanis, William M. Hasling, Reed Maxwell, Amy Defnet, Amy M. Johnson, William Lytle, Andrew Bennett, Elena Leonarduzzi, Lisa K. Gallagher, Laura E. Condon:
SubsetTools: A Python package to subset data to build and run ParFlow hydrologic models. J. Open Source Softw. 9(99): 6752 (2024) - [c24]Miruna Oprescu, Andrew Bennett, Nathan Kallus:
Low-rank MDPs with Continuous Action Spaces. AISTATS 2024: 4069-4077 - [c23]Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka:
VQ-TR: Vector Quantized Attention for Time Series Forecasting. ICLR 2024 - [c22]Wei Yan, Andrew Bennett, Alexis Cobo, Maya Israel:
A Cross-Case Analysis of Experienced Educators in CS Inclusion. SIGCSE (2) 2024: 1863-1864 - [i16]Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang:
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. CoRR abs/2404.00099 (2024) - 2023
- [j6]Iman Maghami, Ashley E. Van Beusekom, Lauren E. Hay, Zhiyu Li, Andrew Bennett, Youngdon Choi, Bart Nijssen, Shaowen Wang, David Tarboton, Jonathan L. Goodall:
Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies. Environ. Model. Softw. 164: 105689 (2023) - [j5]Holger R. Maier, Feifei Zheng, Hoshin V. Gupta, Junyi Chen, Juliane Mai, Dragan A. Savic, Ralf Loritz, Wenyan Wu, Danlu Guo, Andrew Bennett, Anthony J. Jakeman, Saman Razavi, Jianshi Zhao:
On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. Environ. Model. Softw. 167: 105779 (2023) - [c21]Andrew Bennett, Dipendra Misra, Nathan Kallus:
Provable Safe Reinforcement Learning with Binary Feedback. AISTATS 2023: 10871-10900 - [c20]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Inference on Strongly Identified Functionals of Weakly Identified Functions. COLT 2023: 2265 - [c19]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness. COLT 2023: 2291-2318 - [c18]Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun:
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. NeurIPS 2023 - [i15]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness. CoRR abs/2302.05404 (2023) - [i14]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Source Condition Double Robust Inference on Functionals of Inverse Problems. CoRR abs/2307.13793 (2023) - [i13]Andrew Bennett, Nathan Kallus, Miruna Oprescu:
Low-Rank MDPs with Continuous Action Spaces. CoRR abs/2311.03564 (2023) - 2022
- [i12]Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun:
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. CoRR abs/2207.13081 (2022) - [i11]Andrew Bennett, Dipendra Misra, Nathan Kallus:
Provable Safe Reinforcement Learning with Binary Feedback. CoRR abs/2210.14492 (2022) - 2021
- [j4]Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard P. Hooper, David G. Tarboton:
Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. Environ. Model. Softw. 135: 104888 (2021) - [c17]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. AISTATS 2021: 1999-2007 - [i10]Andrew Bennett, Dipendra Misra, Nga Than:
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data. CoRR abs/2105.10165 (2021) - [i9]Andrew Bennett, Nathan Kallus:
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes. CoRR abs/2110.15332 (2021) - 2020
- [j3]Andrew Bennett, Joseph Hamman, Bart Nijssen:
MetSim: A Python package for estimation and disaggregation of meteorological data. J. Open Source Softw. 5(47): 2042 (2020) - [c16]Andrew Bennett, Nathan Kallus:
Efficient Policy Learning from Surrogate-Loss Classification Reductions. ICML 2020: 788-798 - [i8]Andrew Bennett, Nathan Kallus:
Efficient Policy Learning from Surrogate-Loss Classification Reductions. CoRR abs/2002.05153 (2020) - [i7]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. CoRR abs/2007.13893 (2020) - [i6]Andrew Bennett, Nathan Kallus:
The Variational Method of Moments. CoRR abs/2012.09422 (2020)
2010 – 2019
- 2019
- [j2]Philip A. Browne, Patricia de Rosnay, Hao Zuo, Andrew Bennett, Andrew Dawson:
Weakly Coupled Ocean-Atmosphere Data Assimilation in the ECMWF NWP System. Remote. Sens. 11(3): 234 (2019) - [c15]Andrew Bennett, Nathan Kallus, Tobias Schnabel:
Deep Generalized Method of Moments for Instrumental Variable Analysis. NeurIPS 2019: 3559-3569 - [c14]Andrew Bennett, Nathan Kallus:
Policy Evaluation with Latent Confounders via Optimal Balance. NeurIPS 2019: 4827-4837 - [i5]Andrew Bennett, Nathan Kallus, Tobias Schnabel:
Deep Generalized Method of Moments for Instrumental Variable Analysis. CoRR abs/1905.12495 (2019) - [i4]Andrew Bennett, Nathan Kallus:
Policy Evaluation with Latent Confounders via Optimal Balance. CoRR abs/1908.01920 (2019) - 2018
- [c13]Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin:
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. NUT@EMNLP 2018: 137-147 - [c12]Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. EMNLP 2018: 2667-2678 - [c11]Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin:
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. ICWSM 2018: 112-120 - [c10]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. Robotics: Science and Systems 2018 - [i3]Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi:
CHALET: Cornell House Agent Learning Environment. CoRR abs/1801.07357 (2018) - [i2]Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. CoRR abs/1806.00047 (2018) - [i1]Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. CoRR abs/1809.00786 (2018) - 2016
- [c9]Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond:
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. ACL (1) 2016 - 2015
- [j1]Andrew Bennett, Matthew J. D'Orazio, Christopher Peter Lueg:
Using Your Fingers to Think: Enabling Subjective Routing with a Rubber Band Metaphor. Int. J. Softw. Eng. Knowl. Eng. 25(2): 397-414 (2015) - [c8]Andrew Bennett, Victoria Preston, Jay Woo, Shivali Chandra, Devynn Diggins, Riley Chapman, Zhecan Wang, Matthew Rush, Liani Lye, Mindy Tieu, Silas Hughes, Iain Kerr, Adela Wee:
Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists. TePRA 2015: 1-6 - 2014
- [c7]Andrew Bennett, Christopher Lueg:
Using Your Fingers to Think: Interactive Exploration of Subjective Constraints. VINCI 2014: 208 - 2013
- [c6]Arjun Iyer, Luis Rayas, Andrew Bennett:
Formation control for cooperative localization of MAV swarms (demonstration). AAMAS 2013: 1371-1372 - 2012
- [c5]Andrew Bennett, Todd Moore:
Work in progress: What calculus do students learn after calculus? FIE 2012: 1-3 - [c4]Andrew Bennett, Rekha Natarajan:
Work in progress: Choose your own homework. FIE 2012: 1-2
2000 – 2009
- 2007
- [c3]Adrian Novischi, Muirathnam Srikanth, Andrew Bennett:
LCC-WSD: System Description for English Coarse Grained All Words Task at SemEval 2007. SemEval@ACL 2007: 223-226 - [c2]Andrew Bennett, Derek R. Magee:
Learning Sets of Sub-Models for Spatio-Temporal Prediction. SGAI Conf. 2007: 123-136 - 2006
- [c1]Andrew Bennett, Joanna Briggs, Martyn Clark:
High school computing clubs: a pilot study. ITiCSE 2006: 38-42
Coauthor Index
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