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Kelly W. Zhang
Kelly W. Zhang
Other namesKelly Zhang, Kelly Wang Zhang
Postdoctoral Fellow, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Adversarially Regularized Autoencoders
JJ Zhao, Y Kim, K Zhang, AM Rush, Y LeCun
Proceedings of the 35th International Conference on Machine Learning, 2018
419*2018
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis
K Zhang, S Bowman
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
147*2018
Inference for Batched Bandits
KW Zhang, L Janson, SA Murphy
2020 Conference on Neural Information Processing Systems, 2020
862020
Statistical Inference with M-Estimators on Bandit Data
KW Zhang, L Janson, SA Murphy
2021 Conference on Neural Information Processing System, 2021
56*2021
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
AL Trella, KW Zhang, I Nahum-Shani, V Shetty, F Doshi-Velez, SA Murphy
Algorithms (Special Issue "Algorithms in Decision Support Systems", Vol. 2), 2022
322022
Statistical Inference After Adaptive Sampling for Longitudinal Data
KW Zhang, L Janson, SA Murphy
arXiv preprint arXiv:2202.07098, 2022
17*2022
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
AL Trella, KW Zhang, I Nahum-Shani, V Shetty, F Doshi-Velez, SA Murphy
Thirty-Fifth Annual Conference on Innovative Applications of Artificial …, 2022
152022
Did we personalize? assessing personalization by an online reinforcement learning algorithm using resampling
S Ghosh, R Kim, P Chhabria, R Dwivedi, P Klasnja, P Liao, K Zhang, ...
Machine Learning, 1-37, 2024
62024
Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol
I Nahum-Shani, ZM Greer, AL Trella, KW Zhang, SM Carpenter, ...
Contemporary Clinical Trials 139, 107464, 2024
22024
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes
KW Zhang, O Gottesman, F Doshi-Velez
The Challenges of Real World Reinforcement Learning Workshop at NeurIPS 2020, 2020
12020
Posterior Sampling via Autoregressive Generation
KW Zhang, H Namkoong, D Russo
arXiv preprint arXiv:2405.19466, 2024
2024
The Fallacy of Minimizing Local Regret in the Sequential Task Setting
Z Xu, KW Zhang, SA Murphy
arXiv preprint arXiv:2403.10946, 2024
2024
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
AL Trella, KW Zhang, I Nahum-Shani, V Shetty, I Yan, F Doshi-Velez, ...
arXiv preprint arXiv:2402.17003, 2024
2024
Statistical Inference for Adaptive Experimentation
KW Zhang
Harvard University, 2023
2023
Snoring Detection on a Microcontroller
A Rotaru, J Yao, K Zhang
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Articles 1–15