| Awarding additional MELD points to the shortest waitlist candidates improves sex disparity in access to liver transplant in the United States S Bernards, E Lee, N Leung, M Akan, K Gan, H Zhao, M Sarkar, S Tayur, ... American Journal of Transplantation 22 (12), 2912-2920, 2022 | 26 | 2022 |
| Machine‐learning algorithms for predicting hospital re‐admissions in sickle cell disease A Patel, K Gan, AA Li, J Weiss, M Nouraie, S Tayur, EM Novelli British journal of haematology 192 (1), 158-170, 2021 | 14 | 2021 |
| Causal Inference with Selectively Deconfounded Data K Gan, A Li, Z Lipton, S Tayur Available at SSRN 3940523, 2021 | 8 | 2021 |
| Causal Inference with Selectively Deconfounded Data K Gan, A Li, Z Lipton, S Tayur AISTATS 2021, 2021 | 8 | 2021 |
| Personalized treatment for opioid use disorder K Gan, AA Scheller-Wolf, SR Tayur Available at SSRN 3389539, 2019 | 7 | 2019 |
| Contextual bandits with budgeted information reveal K Gan, E Keyvanshokooh, X Liu, S Murphy International Conference on Artificial Intelligence and Statistics, 3970-3978, 2024 | 5 | 2024 |
| Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters B Cho, Y Mukhin, K Gan, I Malenica International Conference on Machine Learning, 2024 | 4* | 2024 |
| Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams B Cho, K Gan, N Kallus International Conference on Machine Learning, 2024 | 3 | 2024 |
| Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs J Maasch, W Pan, S Gupta, V Kuleshov, K Gan, F Wang The Conference on Uncertainty in Artificial Intelligence, 2024 | 3 | 2024 |
| Anytime-valid inference in N-of-1 trials I Malenica, Y Guo, K Gan, S Konigorski Machine Learning for Health (ML4H), 307-322, 2023 | 3 | 2023 |
| Greedy Approximation Algorithms for Active Sequential Hypothesis Testing K Gan, S Jia, A Li NeurIPS 2021, 2021 | 3 | 2021 |
| Machine learning algorithms in predicting hospital readmissions in sickle cell disease A Patel, K Gan, A Li, J Weiss, SM Nouraie, S Tayur, EM Novelli Blood 134, 982, 2019 | 3 | 2019 |
| Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models S Hiremath, JRMA Maasch, M Gao, P Ghosal, K Gan arXiv preprint arXiv:2405.14496, 2024 | 2 | 2024 |
| Toward a Liquid Biopsy: Greedy Approximation Algorithms for Active Sequential Hypothesis Testing K Gan, S Jia, A Li, SR Tayur Management Science (To appear), 2024 | 2 | 2024 |
| Reward maximization for pure exploration: Minimax optimal good arm identification for nonparametric multi-armed bandits B Cho, D Meier, K Gan, N Kallus arXiv preprint arXiv:2410.15564, 2024 | 1 | 2024 |
| Online Uniform Sampling: Randomized Learning-Augmented Approximation Algorithms with Application to Digital Health X Liu, K Gan, E Keyvanshokooh, S Murphy arXiv preprint arXiv:2402.01995, 2024 | 1* | 2024 |
| From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance J Xu, I Nazarov, A Rastogi, Á Periáñez, K Gan arXiv preprint arXiv:2502.05145, 2025 | | 2025 |
| LoSAM: Local Search in Additive Noise Models with Unmeasured Confounders, a Top-Down Global Discovery Approach S Hiremath, P Ghosal, K Gan arXiv preprint arXiv:2410.11759, 2024 | | 2024 |
| CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies BM Cho, AR Pop, K Gan, S Corbett-Davies, I Nir, A Evnine, N Kallus arXiv preprint arXiv:2408.12004, 2024 | | 2024 |
| Improving Treatment Responses through Limited Nudges: A Data-Driven Learning and Optimization Approach E Keyvanshokooh, K Gan, Y Guo, X Liu, AL Trella, S Murphy Available at SSRN 4903888, 2024 | | 2024 |
