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 | 67 | 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 | 60 | 2020 |
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 | 55 | 2019 |
Exact simulation for multivariate Itô diffusions J Blanchet, F Zhang Advances in Applied Probability 52 (4), 1003-1034, 2020 | 42 | 2020 |
Distributionally robust batch contextual bandits N Si, F Zhang, Z Zhou, J Blanchet Management Science 69 (10), 5772-5793, 2023 | 32 | 2023 |
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 | 27 | 2020 |
Robustifying conditional portfolio decisions via optimal transport VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye arXiv preprint arXiv:2103.16451, 2021 | 21 | 2021 |
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 | 17 | 2021 |
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 | 17 | 2018 |
Doubly robust data-driven distributionally robust optimization J Blanchet, Y Kang, F Zhang, F He, Z Hu arXiv preprint arXiv:1705.07168, 2017 | 17 | 2017 |
Individually fair gradient boosting A Vargo, F Zhang, M Yurochkin, Y Sun arXiv preprint arXiv:2103.16785, 2021 | 15 | 2021 |
A distributionally robust boosting algorithm J Blanchet, F Zhang, Y Kang, Z Hu 2019 Winter Simulation Conference (WSC), 3728-3739, 2019 | 10 | 2019 |
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 | 8 | 2018 |
Optimal scenario generation for heavy-tailed chance constrained optimization J Blanchet, F Zhang, B Zwart arXiv preprint arXiv:2002.02149, 2020 | 2 | 2020 |
-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 | 1 | 2018 |
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 | 1 | 2018 |
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 | 1 | 2018 |
Efficient Scenario Generation for Heavy-Tailed Chance Constrained Optimization J Blanchet, F Zhang, B Zwart Stochastic Systems 14 (1), 22-46, 2024 | | 2024 |
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 |