| Adversarially regularized autoencoders J Zhao, Y Kim, K Zhang, A Rush, Y LeCun International conference on machine learning (ICML), 5902-5911, 2018 | 448* | 2018 |
| Language modeling teaches you more syntax than translation does: Lessons learned through auxiliary task analysis KW Zhang, SR Bowman BlackboxNLP 2018 (Workshop at EMNLP), 2018 | 167 | 2018 |
| Inference for batched bandits K Zhang, L Janson, S Murphy Advances in neural information processing systems (NeurIPS) 33, 9818-9829, 2020 | 114 | 2020 |
| Statistical inference with m-estimators on adaptively collected data K Zhang, L Janson, S Murphy Advances in neural information processing systems (NeurIPS) 34, 7460-7471, 2021 | 70 | 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 15 (8), 255, 2022 | 49 | 2022 |
| Statistical inference after adaptive sampling for longitudinal data KW Zhang, L Janson, SA Murphy arXiv preprint arXiv:2202.07098, 2022 | 29* | 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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15724 …, 2023 | 25 | 2023 |
| 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 | 10 | 2024 |
| 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 113 (7), 3961-3997, 2024 | 9 | 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 | 3 | 2024 |
| A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol LN Coughlin, M Campbell, T Wheeler, C Rodriguez, AR Florimbio, ... Contemporary Clinical Trials 145, 107667, 2024 | 2 | 2024 |
| Oralytics Reinforcement Learning Algorithm AL Trella, KW Zhang, SM Carpenter, D Elashoff, ZM Greer, ... arXiv preprint arXiv:2406.13127, 2024 | 2 | 2024 |
| Active Exploration via Autoregressive Generation of Missing Data TT Cai, H Namkoong, D Russo, KW Zhang arXiv preprint arXiv:2405.19466, 2024 | 2* | 2024 |
| The Fallacy of Minimizing Local Regret in the Sequential Task Setting Z Xu, KW Zhang, SA Murphy arXiv e-prints, arXiv: 2403.10946, 2024 | 2 | 2024 |
| A bayesian approach to learning bandit structure in markov decision processes KW Zhang, O Gottesman, F Doshi-Velez Challenges of Real-World Reinforcement Learning (NeurIPS 2020 Workshop), 2022 | 2 | 2022 |
| A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial AL Trella, KW Zhang, H Jajal, I Nahum-Shani, V Shetty, F Doshi-Velez, ... Proceedings of the AAAI Conference on Artificial Intelligence, 2024 | 1 | 2024 |
| Replicable Bandits for Digital Health Interventions KW Zhang, N Closser, AL Trella, SA Murphy Minor Revision at Statistical Science, 2024 | 1 | 2024 |
| Contextual Thompson Sampling via Generation of Missing Data KW Zhang, TT Cai, H Namkoong, D Russo arXiv preprint arXiv:2502.07064, 2025 | | 2025 |
| Impatient Bandits: Optimizing for the Long-Term Without Delay KW Zhang, T Baldwin-McDonald, K Ciosek, L Maystre, D Russo arXiv preprint arXiv:2501.07761, 2025 | | 2025 |
| Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation AL Trella, S Ghosh, EE Bonar, L Coughlin, F Doshi-Velez, Y Guo, ... arXiv preprint arXiv:2409.10526, 2024 | | 2024 |
Susan MurphyHarvard UniversityE-mail megerősítve itt: g.harvard.edu
