Articles with public access mandates - Feng RuanLearn more
Available somewhere: 10
Stochastic methods for composite and weakly convex optimization problems
JC Duchi, F Ruan
SIAM Journal on Optimization 28 (4), 3229-3259, 2018
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US National Institutes of Health
Lassonet: Neural networks with feature sparsity
I Lemhadri, F Ruan, R Tibshirani
International conference on artificial intelligence and statistics, 10-18, 2021
Mandates: US National Science Foundation, US National Institutes of Health
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
Mandates: US National Science Foundation, National Natural Science Foundation of China
Asymptotic optimality in stochastic optimization
JC Duchi, F Ruan
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
Multiclass classification, information, divergence and surrogate risk
J Duchi, K Khosravi, F Ruan
Mandates: US National Science Foundation
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
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Mandates: National Natural Science Foundation of China
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