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Xuhui Zhang
Xuhui Zhang
Stanford University
E-mail confirmado em stanford.edu
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Ano
Dropout Training is Distributionally Robust Optimal
J Blanchet, Y Kang, JLM Olea, VA Nguyen, X Zhang
Journal of Machine Learning Research 24 (180), 1-60, 2023
17*2023
Distributionally Robust Parametric Maximum Likelihood Estimation
VA Nguyen, X Zhang, J Blanchet, A Georghiou
Advances in Neural Information Processing Systems 33, 2020
142020
Distributionally Robust Optimization and Robust Statistics
J Blanchet, J Li, S Lin, X Zhang
arXiv preprint arXiv:2401.14655, 2024
132024
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
X Zhang, J Blanchet, S Ghosh, MS Squillante
International Conference on Artificial Intelligence and Statistics, 3794-3820, 2022
122022
High-throughput experiments for rare-event rupture of materials
Y Zhou, X Zhang, M Yang, Y Pan, Z Du, J Blanchet, Z Suo, T Lu
Matter 5 (2), 654-665, 2022
92022
Bayesian Imputation with Optimal Look-Ahead-Bias and Variance Tradeoff
J Blanchet, F Hernandez, VA Nguyen, M Pelger, X Zhang
arXiv preprint arXiv:2202.00871, 2022
6*2022
Detection and reduction of systematic bias in high-throughput rupture experiments
H Wu, X Zhang, Y Zhou, J Blanchet, Z Suo, T Lu
Journal of the Mechanics and Physics of Solids 174, 105249, 2023
52023
Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations
H Lam, H Li, X Zhang
Operations Research Letters 49 (1), 40-47, 2021
52021
Minimax efficient finite-difference gradient estimators
H Lam, X Zhang
2019 Winter Simulation Conference (WSC), 392-403, 2019
52019
Enhanced Balancing of Bias-Variance Tradeoff in Stochastic Estimation: A Minimax Perspective
H Lam, X Zhang, X Zhang
Operations Research 71 (6), 2352-2373, 2023
42023
Is a high-throughput experimental dataset large enough to accurately estimate a statistic?
Y Zhou, S Lin, X Zhang, H Wu, J Blanchet, Z Suo, T Lu
Journal of the Mechanics and Physics of Solids 183, 105521, 2024
22024
Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
X Zhang, J Blanchet, Y Marzouk, VA Nguyen, S Wang
arXiv preprint arXiv:2312.09862, 2023
22023
Wasserstein Distributionally Robust Gaussian Process Regression and Linear Inverse Problems
X Zhang, J Blanchet, Y Marzouk, VA Nguyen, S Wang
arXiv preprint arXiv:2205.13111, 2022
2*2022
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