Sledovat
Nian Si
Název
Citace
Citace
Rok
Confidence regions in Wasserstein distributionally robust estimation
J Blanchet, K Murthy, N Si
Biometrika 109 (2), 295-315, 2022
772022
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
662020
Distributionally robust batch contextual bandits
N Si, F Zhang, Z Zhou, J Blanchet
Management Science 69 (10), 5772-5793, 2023
472023
Testing group fairness via optimal transport projections
N Si, K Murthy, J Blanchet, VA Nguyen
International Conference on Machine Learning, 9649-9659, 2021
322021
A finite sample complexity bound for distributionally robust q-learning
S Wang, N Si, J Blanchet, Z Zhou
International Conference on Artificial Intelligence and Statistics, 3370-3398, 2023
302023
On the foundation of distributionally robust reinforcement learning
S Wang, N Si, J Blanchet, Z Zhou
arXiv preprint arXiv:2311.09018, 2023
182023
Robust bayesian classification using an optimistic score ratio
VA Nguyen, N Si, J Blanchet
International Conference on Machine Learning, 7327-7337, 2020
162020
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
162020
Sample complexity of variance-reduced distributionally robust q-learning
S Wang, N Si, J Blanchet, Z Zhou
Journal of Machine Learning Research 25 (341), 1-77, 2024
112024
Efficient steady-state simulation of high-dimensional stochastic networks
J Blanchet, X Chen, N Si, PW Glynn
Stochastic Systems 11 (2), 174-192, 2021
82021
Optimal uncertainty size in distributionally robust inverse covariance estimation
J Blanchet, N Si
Operations Research Letters 47 (6), 618-621, 2019
72019
Seller-side experiments under interference induced by feedback loops in two-sided platforms
Z Zhu, Z Cai, L Zheng, N Si
arXiv preprint arXiv:2401.15811, 2024
62024
Optimal bidding and experimentation for multi-layer auctions in online advertising
N Si, S Gultekin, J Blanchet, A Flores
Available at SSRN 4358914, 2023
62023
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
62016
Singular control of (reflected) Brownian motion: a computational method suitable for queueing applications
B Ata, JM Harrison, N Si
Queueing Systems 108 (3), 215-251, 2024
52024
Experimental design in one-sided matching platforms
C Weng, X Lei, N Si
Available at SSRN 4890353, 2024
42024
Tackling interference induced by data training loops in a/b tests: A weighted training approach
N Si
arXiv preprint arXiv:2310.17496, 2023
42023
Drift control of high-dimensional RBM: A computational method based on neural networks
B Ata, JM Harrison, N Si
arXiv preprint arXiv:2309.11651, 2023
42023
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Y Fan, N Si, K Zhang
arXiv preprint arXiv:2205.09809, 2022
42022
Selecting the best optimizing system
N Si, Z Zheng
arXiv preprint arXiv:2201.03065, 2022
32022
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Články 1–20