| Confidence regions in Wasserstein distributionally robust estimation J Blanchet, K Murthy, N Si Biometrika 109 (2), 295-315, 2022 | 37 | 2022 |
| Distributionally robust policy evaluation and learning in offline contextual bandits N Si, F Zhang, Z Zhou, J Blanchet International Conference on Machine Learning, 8884-8894, 2020 | 36 | 2020 |
| Distributional robust batch contextual bandits N Si, F Zhang, Z Zhou, J Blanchet arXiv preprint arXiv:2006.05630, 2020 | 13 | 2020 |
| Robust bayesian classification using an optimistic score ratio VA Nguyen, N Si, J Blanchet International Conference on Machine Learning, 7327-7337, 2020 | 11 | 2020 |
| Quantifying the empirical wasserstein distance to a set of measures: Beating the curse of dimensionality N Si, J Blanchet, S Ghosh, M Squillante Advances in Neural Information Processing Systems 33, 21260-21270, 2020 | 9 | 2020 |
| Testing group fairness via optimal transport projections N Si, K Murthy, J Blanchet, VA Nguyen International Conference on Machine Learning, 9649-9659, 2021 | 7 | 2021 |
| Optimal uncertainty size in distributionally robust inverse covariance estimation J Blanchet, N Si Operations Research Letters 47 (6), 618-621, 2019 | 7 | 2019 |
| Efficient steady-state simulation of high-dimensional stochastic networks J Blanchet, X Chen, N Si, PW Glynn Stochastic Systems 11 (2), 174-192, 2021 | 5 | 2021 |
| Efficient computation of the likelihood expansions for diffusion models C Li, Y An, D Chen, Q Lin, N Si IIE Transactions 48 (12), 1156-1171, 2016 | 4 | 2016 |
| A Finite Sample Complexity Bound for Distributionally Robust Q-learning S Wang, N Si, J Blanchet, Z Zhou arXiv preprint arXiv:2302.13203, 2023 | | 2023 |
| Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems Y Fan, N Si, K Zhang arXiv preprint arXiv:2205.09809, 2022 | | 2022 |
| Selecting the Best Optimizing System N Si, Z Zheng arXiv preprint arXiv:2201.03065, 2022 | | 2022 |
| Optimal Bidding and Experimentation for Multi-layer Auctions in Online Advertising N Si, S Gultekin, J Blanchet, A Flores | | |
| ROBUST STRATEGIC TRANSFER LEARNING IN AN UNCERTAIN ENVIRONMENT: FROM SECOND-TO FIRST-PRICE AUCTIONS N SI, JB SAN GULTEKIN, A FLORES | | |
| Appendix–Robust Bayesian Classification Using an Optimistic Score Ratio VA Nguyen, N Si, J Blanchet | | |
Jose BlanchetStanford UniversityVerified email at stanford.edu
