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Fan Zhang
Fan Zhang
Management Science and Engineering, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Optimal transport-based distributionally robust optimization: Structural properties and iterative schemes
J Blanchet, K Murthy, F Zhang
Mathematics of Operations Research 47 (2), 1500-1529, 2022
622022
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
572020
Data-driven optimal transport cost selection for distributionally robust optimization
J Blanchet, Y Kang, K Murthy, F Zhang
2019 winter simulation conference (WSC), 3740-3751, 2019
562019
Exact simulation for multivariate Itô diffusions
J Blanchet, F Zhang
Advances in Applied Probability 52 (4), 1003-1034, 2020
392020
Distributionally robust batch contextual bandits
N Si, F Zhang, Z Zhou, J Blanchet
Management Science 69 (10), 5772-5793, 2023
282023
Distributionally Robust Local Non-parametric Conditional Estimation
VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye
Advances in Neural Information Processing Systems 33, 15232-15242, 2020
262020
Robustifying conditional portfolio decisions via optimal transport
VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye
arXiv preprint arXiv:2103.16451, 2021
202021
Nonconvex and nonsmooth sparse optimization via adaptively iterative reweighted methods
H Wang, F Zhang, Y Shi, Y Hu
Journal of Global Optimization 81 (3), 717-748, 2021
172021
Doubly robust data-driven distributionally robust optimization
J Blanchet, Y Kang, F Zhang, F He, Z Hu
arXiv preprint arXiv:1705.07168, 2017
172017
Discriminative low-rank graph preserving dictionary learning with Schatten-p quasi-norm regularization for image recognition
H Du, Z Zhao, S Wang, F Zhang
Neurocomputing 275, 697-710, 2018
162018
Individually fair gradient boosting
A Vargo, F Zhang, M Yurochkin, Y Sun
arXiv preprint arXiv:2103.16785, 2021
152021
A distributionally robust boosting algorithm
J Blanchet, F Zhang, Y Kang, Z Hu
2019 Winter Simulation Conference (WSC), 3728-3739, 2019
102019
Parameter-Free -Box Decoding of LDPC Codes
Q Wu, F Zhang, H Wang, J Lin, Y Liu
IEEE Communications Letters 22 (7), 1318-1321, 2018
82018
Optimal scenario generation for heavy-tailed chance constrained optimization
J Blanchet, F Zhang, B Zwart
arXiv preprint arXiv:2002.02149, 2020
22020
-Box Optimization for Green Cloud-RAN via Network Adaptation
F Zhang, Q Wu, H Wang, Y Shi
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018
12018
Generalized Low-Rank Matrix Completion via Nonconvex Schatten -Norm Minimization
Q Wu, F Zhang, H Wang, Y Shi
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018
12018
Topological interference alignment via generalized low-rank optimization with sequential convex approximations
F Zhang, Q Wu, H Wang, Y Shi
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
12018
Efficient Scenario Generation for Heavy-Tailed Chance Constrained Optimization
J Blanchet, F Zhang, B Zwart
Stochastic Systems, 2023
2023
Training individually fair machine learning algorithms via distributionally robust optimization
S Upadhyay, M Yurochkin, D Mukherjee, Y Sun, ARG Bower, SH Eftekhari, ...
US Patent App. 17/213,167, 2022
2022
Optimal Stochastic Couplings
F Zhang
Stanford University, 2021
2021
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