Feng Ruan
Feng Ruan
Department of Statistics, Stanford University
Verified email at stanford.edu - Homepage
Cited by
Cited by
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
Stochastic methods for composite and weakly convex optimization problems
JC Duchi, F Ruan
SIAM Journal on Optimization 28 (4), 3229-3259, 2018
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
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, 2019
Stochastic methods for composite optimization problems
JC Duchi, F Ruan
Preprint, 2017
The right complexity measure in locally private estimation: It is not the fisher information
JC Duchi, F Ruan
arXiv preprint arXiv:1806.05756, 2018
Asymptotic optimality in stochastic optimization
J Duchi, F Ruan
arXiv preprint arXiv:1612.05612, 2016
Multiclass classification, information, divergence and surrogate risk
J Duchi, K Khosravi, F Ruan
The Annals of Statistics 46 (6B), 3246-3275, 2018
Minimax bounds on stochastic batched convex optimization
J Duchi, F Ruan, C Yun
Conference On Learning Theory, 3065-3162, 2018
Local asymptotics for some stochastic optimization problems: Optimality, constraint identification, and dual averaging
J Duchi, F Ruan
arXiv preprint arXiv:1612.05612, 2016
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
A constrained risk inequality for general losses
JC Duchi, F Ruan
arXiv preprint arXiv:1804.08116, 2018
Is temporal difference learning optimal? an instance-dependent analysis
K Khamaru, A Pananjady, F Ruan, MJ Wainwright, MI Jordan
arXiv preprint arXiv:2003.07337, 2020
Adapting to unknown noise distribution in matrix denoising
A Montanari, F Ruan, J Yan
arXiv preprint arXiv:1810.02954, 2018
A Tutorial on: R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics
J Xiong, F Ruan, Y Yao
Handbook of Big Data Analytics, 425-453, 2018
Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses
JC Duchi, K Khosravi, F Ruan
arXiv preprint arXiv 1603, 2016
LassoNet: Neural networks with Feature Sparsity
I Lemhadri, F Ruan, R Tibshirani
arXiv preprint arXiv:1907.12207, 2019
A neural network with feature sparsity
I Lemhadri, F Ruan, R Tibshirani
arXiv preprint arXiv:1907.12207, 0
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