Kelly W. Zhang

According to our database, Kelly W. Zhang authored at least 18 papers between 2018 and 2025.

Collaborative distances:

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

2025

Contextual Thompson Sampling via Generation of Missing Data.

Kelly W. Zhang, Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo

CoRR, February, 2025

Impatient Bandits: Optimizing for the Long-Term Without Delay.

Kelly W. Zhang, Thomas Baldwin-McDonald, Kamil Ciosek, Lucas Maystre, Daniel Russo

CoRR, January, 2025

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., July, 2024

Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation.

Anna L. Trella, Susobhan Ghosh, Erin 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, Susan A. Murphy

CoRR, 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

CoRR, 2024

Oralytics Reinforcement Learning Algorithm.

Anna L. Trella, Kelly W. Zhang, Stephanie M. Carpenter, David Elashoff, Zara M. Greer, Inbal Nahum-Shani, Dennis Ruenger, Vivek Shetty, Susan A. Murphy

CoRR, 2024

Posterior Sampling via Autoregressive Generation.

Kelly W. Zhang, Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo

CoRR, 2024

The Fallacy of Minimizing Local Regret in the Sequential Task Setting.

Ziping Xu, Kelly W. Zhang, Susan A. Murphy

CoRR, 2024

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

2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes.

Kelly W. Zhang, Omer Gottesman, Finale Doshi-Velez

CoRR, 2022

Statistical Inference After Adaptive Sampling in Non-Markovian Environments.

Kelly W. Zhang, Lucas Janson, Susan A. Murphy

CoRR, 2022

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

2021

Statistical Inference with M-Estimators on Bandit Data.

Kelly W. Zhang, Lucas Janson, Susan A. Murphy

CoRR, 2021

Statistical Inference with M-Estimators on Adaptively Collected Data.

Kelly W. Zhang, Lucas Janson, Susan A. Murphy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Inference for Batched Bandits.

Kelly W. Zhang, Lucas Janson, Susan A. Murphy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis.

Kelly W. Zhang, Samuel R. Bowman

CoRR, 2018

Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis.

Kelly W. Zhang, Samuel R. Bowman

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018