High school computing clubs: a pilot study. - Andrew Bennett; Joanna Briggs; Martyn Clark (ITiCSE, 2006)

LCC-WSD: System Description for English Coarse Grained All Words Task at SemEval 2007. - Adrian Novischi; Muirathnam Srikanth; Andrew Bennett (SemEval@ACL, 2007)

Learning Sets of Sub-Models for Spatio-Temporal Prediction. - Andrew Bennett; Derek R. Magee (SGAI Conf., 2007)

Work in progress: What calculus do students learn after calculus? - Andrew Bennett; Todd Moore (FIE, 2012)

Work in progress: Choose your own homework. - Andrew Bennett; Rekha Natarajan (FIE, 2012)

Formation control for cooperative localization of MAV swarms (demonstration). - Arjun Iyer; Luis Rayas; Andrew Bennett (AAMAS, 2013)

Using Your Fingers to Think: Interactive Exploration of Subjective Constraints. - Andrew Bennett; Christopher Lueg (VINCI, 2014)

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; et al. (TePRA, 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)

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. - Andrew Bennett; Timothy Baldwin; Jey Han Lau; Diana McCarthy; Francis Bond (ACL (1), 2016)

Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. - Steven Xu; Andrew Bennett; Doris Hoogeveen; Jey Han Lau; Timothy Baldwin (NUT@EMNLP, 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 (EMNLP, 2018)

Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. - Doris Hoogeveen; Andrew Bennett; Yitong Li 002; Karin M. Verspoor; Timothy Baldwin (ICWSM, 2018)

Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. - Valts Blukis; Nataly Brukhim; Andrew Bennett; Ross A. Knepper; Yoav Artzi (Robotics: Science and Systems, 2018)

CHALET: Cornell House Agent Learning Environment. - Claudia Yan; Dipendra Kumar Misra; Andrew Bennett; Aaron Walsman; Yonatan Bisk; Yoav Artzi (CoRR, 2018)

Policy Evaluation with Latent Confounders via Optimal Balance. - Andrew Bennett; Nathan Kallus (NeurIPS, 2019)

Deep Generalized Method of Moments for Instrumental Variable Analysis. - Andrew Bennett; Nathan Kallus; Tobias Schnabel (NeurIPS, 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)

Efficient Policy Learning from Surrogate-Loss Classification Reductions. - Andrew Bennett; Nathan Kallus (ICML, 2020)

The Variational Method of Moments. - Andrew Bennett; Nathan Kallus (CoRR, 2020)

MetSim: A Python package for estimation and disaggregation of meteorological data. - Andrew Bennett; Joseph Hamman; Bart Nijssen (J. Open Source Softw., 2020)

Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. - Andrew Bennett; Nathan Kallus; Lihong Li 001; Ali Mousavi 003 (AISTATS, 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)

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 001; Martyn Clark; Daniel P. Ames; Jeffery S. Horsburgh; Hong Yi; et al. (Environ. Model. Softw., 2021)

Provable Safe Reinforcement Learning with Binary Feedback. - Andrew Bennett; Dipendra Misra; Nathan Kallus (AISTATS, 2023)

Inference on Strongly Identified Functionals of Weakly Identified Functions. - Andrew Bennett; Nathan Kallus; Xiaojie Mao; Whitney Newey; Vasilis Syrgkanis; Masatoshi Uehara (COLT, 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 (COLT, 2023)

Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. - Masatoshi Uehara; Haruka Kiyohara; Andrew Bennett; Victor Chernozhukov; Nan Jiang 008; Nathan Kallus; Chengchun Shi; Wen Sun 002 (NeurIPS, 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)

Source Condition Double Robust Inference on Functionals of Inverse Problems. - Andrew Bennett; Nathan Kallus; Xiaojie Mao; Whitney Newey; Vasilis Syrgkanis; Masatoshi Uehara (CoRR, 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 001; David Tarboton; Jonathan L. Goodall (Environ. Model. Softw., 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 001; Danlu Guo; Andrew Bennett; Anthony J. Jakeman; Saman Razavi; et al. (Environ. Model. Softw., 2023)

Low-rank MDPs with Continuous Action Spaces. - Miruna Oprescu; Andrew Bennett; Nathan Kallus (AISTATS, 2024)

VQ-TR: Vector Quantized Attention for Time Series Forecasting. - Kashif Rasul; Andrew Bennett; Pablo Vicente; Umang Gupta; Hena Ghonia; Anderson Schneider; Yuriy Nevmyvaka (ICLR, 2024)

Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. - Andrew Bennett; Nathan Kallus; Miruna Oprescu; Wen Sun 002; Kaiwen Wang (NeurIPS, 2024)

A Cross-Case Analysis of Experienced Educators in CS Inclusion. - Wei Yan; Andrew Bennett; Alexis Cobo; Maya Israel (SIGCSE (2), 2024)

Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes. - Andrew Bennett; Nathan Kallus (Oper. Res., 2024)

SubsetTools: A Python package to subset data to build and run ParFlow hydrologic models. - 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 (J. Open Source Softw., 2024)