Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis. - Kelly W. Zhang; Samuel R. Bowman (BlackboxNLP@EMNLP, 2018)

Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis. - Kelly W. Zhang; Samuel R. Bowman (CoRR, 2018)

Inference for Batched Bandits. - Kelly W. Zhang; Lucas Janson; Susan A. Murphy (NeurIPS, 2020)

Statistical Inference with M-Estimators on Adaptively Collected Data. - Kelly W. Zhang; Lucas Janson; Susan A. Murphy (NeurIPS, 2021)

Statistical Inference with M-Estimators on Bandit Data. - Kelly W. Zhang; Lucas Janson; Susan A. Murphy (CoRR, 2021)

Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines. - Anna L. Trella; Kelly W. Zhang; Inbal Nahum-Shani; Vivek Shetty; Finale Doshi-Velez; Susan A. Murphy (Algorithms, 2022)

Statistical Inference After Adaptive Sampling in Non-Markovian Environments. - Kelly W. Zhang; Lucas Janson; Susan A. Murphy (CoRR, 2022)

A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes. - Kelly W. Zhang; Omer Gottesman; Finale Doshi-Velez (CoRR, 2022)

Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care. - Anna L. Trella; Kelly W. Zhang; Inbal Nahum-Shani; Vivek Shetty; Finale Doshi-Velez; Susan A. Murphy (AAAI, 2023)

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials. - Anna L. Trella; Kelly W. Zhang; Inbal Nahum-Shani; Vivek Shetty; Iris Yan; Finale Doshi-Velez; Susan A. Murphy (CoRR, 2024)

The Fallacy of Minimizing Local Regret in the Sequential Task Setting. - Ziping Xu; Kelly W. Zhang; Susan A. Murphy (CoRR, 2024)

Posterior Sampling via Autoregressive Generation. - Kelly W. Zhang; Tiffany Tianhui Cai; Hongseok Namkoong; Daniel Russo 001 (CoRR, 2024)

Oralytics Reinforcement Learning Algorithm. - Anna L. Trella; Kelly W. Zhang; Stephanie Marita Carpenter; David Elashoff; Zara M. Greer; Inbal Nahum-Shani; Dennis Ruenger; Vivek Shetty; Susan A. Murphy (CoRR, 2024)

Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation. - Anna L. Trella; Susobhan Ghosh; Erin E. Bonar; Lara N. Coughlin; Finale Doshi-Velez; Yongyi Guo; Pei-Yao Hung; Inbal Nahum-Shani; Vivek Shetty; Maureen A. Walton; Iris Yan; Kelly W. Zhang; et al. (CoRR, 2024)

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. - Susobhan Ghosh; Raphael Kim; Prasidh Chhabria; Raaz Dwivedi; Predrag Klasnja; Peng Liao; Kelly W. Zhang; Susan A. Murphy (Mach. Learn., 2024)

A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial. - Anna L. Trella; Kelly W. Zhang; Hinal Jajal; Inbal Nahum-Shani; Vivek Shetty; Finale Doshi-Velez; Susan A. Murphy (AAAI, 2025)

Impatient Bandits: Optimizing for the Long-Term Without Delay. - Kelly W. Zhang; Thomas Baldwin-McDonald; Kamil Ciosek; Lucas Maystre; Daniel Russo 001 (CoRR, 2025)

Contextual Thompson Sampling via Generation of Missing Data. - Kelly W. Zhang; Tiffany Tianhui Cai; Hongseok Namkoong; Daniel Russo 001 (CoRR, 2025)