Adversarially Regularized Autoencoders JJ Zhao, Y Kim, K Zhang, AM Rush, Y LeCun Proceedings of the 35th International Conference on Machine Learning, 2018 | 413* | 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 | 85 | 2020 |
Statistical Inference with M-Estimators on Bandit Data KW Zhang, L Janson, SA Murphy 2021 Conference on Neural Information Processing System, 2021 | 54* | 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 | 32 | 2022 |
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 | 14 | 2022 |
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 | 6 | 2024 |
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 | 2 | 2024 |
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 | 1 | 2020 |
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 | | |