Följ
Feng Ruan
Feng Ruan
Department of EECS, University of California, Berkeley
Verifierad e-postadress på berkeley.edu - Startsida
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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
2192019
Stochastic methods for composite and weakly convex optimization problems
JC Duchi, F Ruan
SIAM Journal on Optimization 28 (4), 3229-3259, 2018
1962018
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
1932019
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
1492021
Lassonet: Neural networks with feature sparsity
I Lemhadri, F Ruan, R Tibshirani
International conference on artificial intelligence and statistics, 10-18, 2021
972021
Bandit learning in decentralized matching markets
LT Liu, F Ruan, H Mania, MI Jordan
Journal of Machine Learning Research 22 (211), 1-34, 2021
842021
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
822016
Asymptotic optimality in stochastic optimization
JC Duchi, F Ruan
75*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
722021
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
592024
Multiclass classification, information, divergence and surrogate risk
J Duchi, K Khosravi, F Ruan
522018
Minimax bounds on stochastic batched convex optimization
J Duchi, F Ruan, C Yun
Conference On Learning Theory, 3065-3162, 2018
302018
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
202020
Adapting to unknown noise distribution in matrix denoising
A Montanari, F Ruan, J Yan
arXiv preprint arXiv:1810.02954, 2018
162018
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
152017
Local asymptotics for some stochastic optimization problems: Optimality, constraint identification, and dual averaging
J Duchi, F Ruan
arXiv preprint arXiv:1612.05612, 2016
122016
A constrained risk inequality for general losses
J Duchi, F Ruan
International Conference on Artificial Intelligence and Statistics, 802-810, 2021
82021
Universality of max-margin classifiers
A Montanari, F Ruan, B Saeed, Y Sohn
arXiv preprint arXiv:2310.00176, 2023
52023
A statistical framework of watermarks for large language models: Pivot, detection efficiency and optimal rules
X Li, F Ruan, H Wang, Q Long, WJ Su
The Annals of Statistics 53 (1), 322-351, 2025
32025
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
32023
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Artiklar 1–20