| The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime A Montanari, F Ruan, Y Sohn, J Yan arXiv preprint arXiv:1911.01544 7, 2019 | 219 | 2019 |
| Stochastic methods for composite and weakly convex optimization problems JC Duchi, F Ruan SIAM Journal on Optimization 28 (4), 3229-3259, 2018 | 195 | 2018 |
| Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval JC Duchi, F Ruan Information and Inference: A Journal of the IMA 8 (3), 471-529, 2019 | 194 | 2019 |
| Lassonet: A neural network with feature sparsity I Lemhadri, F Ruan, L Abraham, R Tibshirani Journal of Machine Learning Research 22 (127), 1-29, 2021 | 148 | 2021 |
| Lassonet: Neural networks with feature sparsity I Lemhadri, F Ruan, R Tibshirani International conference on artificial intelligence and statistics, 10-18, 2021 | 97 | 2021 |
| Bandit learning in decentralized matching markets LT Liu, F Ruan, H Mania, MI Jordan Journal of Machine Learning Research 22 (211), 1-34, 2021 | 84 | 2021 |
| Sparse recovery via differential inclusions S Osher, F Ruan, J Xiong, Y Yao, W Yin Applied and Computational Harmonic Analysis 41 (2), 436-469, 2016 | 81 | 2016 |
| Asymptotic optimality in stochastic optimization JC Duchi, F Ruan | 73* | 2021 |
| Is temporal difference learning optimal? an instance-dependent analysis K Khamaru, A Pananjady, F Ruan, MJ Wainwright, MI Jordan SIAM Journal on Mathematics of Data Science 3 (4), 1013-1040, 2021 | 72 | 2021 |
| The right complexity measure in locally private estimation: It is not the fisher information JC Duchi, F Ruan The Annals of Statistics 52 (1), 1-51, 2024 | 58 | 2024 |
| Multiclass classification, information, divergence and surrogate risk J Duchi, K Khosravi, F Ruan | 52 | 2018 |
| Minimax bounds on stochastic batched convex optimization J Duchi, F Ruan, C Yun Conference On Learning Theory, 3065-3162, 2018 | 30 | 2018 |
| Convergence rates of subgradient methods for quasi-convex optimization problems Y Hu, J Li, CKW Yu Computational Optimization and Applications 77 (1), 183-212, 2020 | 20 | 2020 |
| Adapting to unknown noise distribution in matrix denoising A Montanari, F Ruan, J Yan arXiv preprint arXiv:1810.02954, 2018 | 16 | 2018 |
| Characterizing listener engagement with popular songs using large-scale music discovery data B Kaneshiro, F Ruan, CW Baker, J Berger Frontiers in psychology 8, 416, 2017 | 15 | 2017 |
| Local asymptotics for some stochastic optimization problems: Optimality, constraint identification, and dual averaging J Duchi, F Ruan arXiv preprint arXiv:1612.05612, 2016 | 12 | 2016 |
| A constrained risk inequality for general losses J Duchi, F Ruan International Conference on Artificial Intelligence and Statistics, 802-810, 2021 | 8 | 2021 |
| Universality of max-margin classifiers A Montanari, F Ruan, B Saeed, Y Sohn arXiv preprint arXiv:2310.00176, 2023 | 5 | 2023 |
| Kernel Learning in Ridge Regression" Automatically" Yields Exact Low Rank Solution Y Chen, Y Li, K Liu, F Ruan arXiv preprint arXiv:2310.11736, 2023 | 3 | 2023 |
| FastCPH: Efficient Survival Analysis for Neural Networks X Yang, L Abraham, S Kim, P Smirnov, F Ruan, B Haibe-Kains, ... arXiv preprint arXiv:2208.09793, 2022 | 3 | 2022 |
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
