Andrew Bennett

According to our database, Andrew Bennett authored at least 35 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Cross-Case Analysis of Experienced Educators in CS Inclusion.

Wei Yan, Andrew Bennett, Alexis Cobo, Maya Israel

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023

On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization.

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

Environ. Model. Softw., September, 2023

Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies.

Iman Maghami, Ashley E. Van Beusekom, Lauren E. Hay, Zhiyu Li, Andrew Bennett, Youngdon Choi, Bart Nijssen, Shaowen Wang, David Tarboton, Jonathan L. Goodall

Environ. Model. Softw., 2023

Low-Rank MDPs with Continuous Action Spaces.

Andrew Bennett, Nathan Kallus, Miruna Oprescu

CoRR, 2023

Source Condition Double Robust Inference on Functionals of Inverse Problems.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

CoRR, 2023

Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

CoRR, 2023

Future-Dependent Value-Based Off-Policy Evaluation in POMDPs.

Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minimax Instrumental Variable Regression and L₂ Convergence Guarantees without Identification or Closedness.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Inference on Strongly Identified Functionals of Weakly Identified Functions.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Provable Safe Reinforcement Learning with Binary Feedback.

Andrew Bennett, Dipendra Misra, Nathan Kallus

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces.

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

Environ. Model. Softw., 2021

Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes.

Andrew Bennett, Nathan Kallus

CoRR, 2021

Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data.

Andrew Bennett, Dipendra Misra, Nga Than

CoRR, 2021

Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders.

Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

MetSim: A Python package for estimation and disaggregation of meteorological data.

Andrew Bennett, Joseph Hamman, Bart Nijssen

J. Open Source Softw., 2020

The Variational Method of Moments.

Andrew Bennett, Nathan Kallus

CoRR, 2020

Efficient Policy Learning from Surrogate-Loss Classification Reductions.

Andrew Bennett, Nathan Kallus

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Weakly Coupled Ocean-Atmosphere Data Assimilation in the ECMWF NWP System.

Philip A. Browne, Patricia de Rosnay, Hao Zuo, Andrew Bennett, Andrew Dawson

Remote. Sens., 2019

Deep Generalized Method of Moments for Instrumental Variable Analysis.

Andrew Bennett, Nathan Kallus, Tobias Schnabel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Policy Evaluation with Latent Confounders via Optimal Balance.

Andrew Bennett, Nathan Kallus

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

CHALET: Cornell House Agent Learning Environment.

Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi

CoRR, 2018

Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning.

Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi

Proceedings of the Robotics: Science and Systems XIV, 2018

Detecting Misflagged Duplicate Questions in Community Question-Answering Archives.

Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction.

Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata.

Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

2016

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning.

Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Using Your Fingers to Think: Enabling Subjective Routing with a Rubber Band Metaphor.

Andrew Bennett, Matthew J. D'Orazio, Christopher Peter Lueg

Int. J. Softw. Eng. Knowl. Eng., 2015

Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists.

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

Proceedings of the 2015 IEEE International Conference on Technologies for Practical Robot Applications, 2015

2014

Using Your Fingers to Think: Interactive Exploration of Subjective Constraints.

Andrew Bennett, Christopher Lueg

Proceedings of the 7th International Symposium on Visual Information Communication and Interaction, 2014

2013

Formation control for cooperative localization of MAV swarms (demonstration).

Arjun Iyer, Luis Rayas, Andrew Bennett

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

Work in progress: Choose your own homework.

Andrew Bennett, Rekha Natarajan

Proceedings of the IEEE Frontiers in Education Conference, 2012

Work in progress: What calculus do students learn after calculus?

Andrew Bennett, Todd Moore

Proceedings of the IEEE Frontiers in Education Conference, 2012

2007

Learning Sets of Sub-Models for Spatio-Temporal Prediction.

Andrew Bennett, Derek R. Magee

Proceedings of the Research and Development in Intelligent Systems XXIV, 2007

LCC-WSD: System Description for English Coarse Grained All Words Task at SemEval 2007.

Adrian Novischi, Muirathnam Srikanth, Andrew Bennett

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

2006

High school computing clubs: a pilot study.

Andrew Bennett, Joanna Briggs, Martyn Clark

Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2006