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2020 – today
- 2024
[j2]Susobhan Ghosh
, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy:
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Mach. Learn. 113(7): 3961-3997 (2024)- [i14]Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Iris Yan, Finale Doshi-Velez, Susan A. Murphy:
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials. CoRR abs/2402.17003 (2024) - [i13]Ziping Xu, Kelly W. Zhang, Susan A. Murphy:
The Fallacy of Minimizing Local Regret in the Sequential Task Setting. CoRR abs/2403.10946 (2024) - [i12]Kelly W. Zhang, Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo:
Posterior Sampling via Autoregressive Generation. CoRR abs/2405.19466 (2024) - [i11]Anna L. Trella, Kelly W. Zhang, Stephanie M. Carpenter, David Elashoff, Zara M. Greer, Inbal Nahum-Shani, Dennis Ruenger, Vivek Shetty, Susan A. Murphy:
Oralytics Reinforcement Learning Algorithm. CoRR abs/2406.13127 (2024) - [i10]Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial. CoRR abs/2409.02069 (2024) - [i9]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:
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation. CoRR abs/2409.10526 (2024) - 2023
- [c4]Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care. AAAI 2023: 15724-15730 - [i8]Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag V. Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy:
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR abs/2304.05365 (2023) - 2022
- [j1]Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines. Algorithms 15(8): 255 (2022) - [i7]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference After Adaptive Sampling in Non-Markovian Environments. CoRR abs/2202.07098 (2022) - [i6]Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines. CoRR abs/2206.03944 (2022) - [i5]Kelly W. Zhang, Omer Gottesman, Finale Doshi-Velez:
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes. CoRR abs/2208.00250 (2022) - [i4]Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care. CoRR abs/2208.07406 (2022) - 2021
- [c3]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference with M-Estimators on Adaptively Collected Data. NeurIPS 2021: 7460-7471 - [i3]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference with M-Estimators on Bandit Data. CoRR abs/2104.14074 (2021) - 2020
- [c2]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Inference for Batched Bandits. NeurIPS 2020 - [i2]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Inference for Batched Bandits. CoRR abs/2002.03217 (2020)
2010 – 2019
- 2018
- [c1]Kelly W. Zhang, Samuel R. Bowman:
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis. BlackboxNLP@EMNLP 2018: 359-361 - [i1]Kelly W. Zhang, Samuel R. Bowman:
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis. CoRR abs/1809.10040 (2018)
Coauthor Index
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