Y
Yuchen Zhang
Researcher at Stanford University
Publications - 3
Citations - 338
Yuchen Zhang is an academic researcher from Stanford University. The author has contributed to research in topics: Empirical risk minimization & Convex optimization. The author has an hindex of 3, co-authored 3 publications receiving 307 citations.
Papers
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Journal Article
Stochastic primal-dual coordinate method for regularized empirical risk minimization
Yuchen Zhang,Lin Xiao +1 more
TL;DR: This work proposes a stochastic primal-dual coordinate method, which alternates between maximizing over one (or more) randomly chosen dual variable and minimizing over the primal variable, and develops an extension to non-smooth and nonstrongly convex loss functions.
Book ChapterDOI
Communication-Efficient Distributed Optimization of Self-concordant Empirical Loss
Yuchen Zhang,Lin Xiao +1 more
TL;DR: A communication-efficient distributed algorithm to minimize the overall empirical loss, which is the average of the local empirical losses of the distributed computing system, based on an inexact damped Newton method.
Posted Content
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Yuchen Zhang,Lin Xiao +1 more
TL;DR: In this paper, a stochastic primal-dual coordinate (SPDC) method was proposed, which alternates between maximizing over a randomly chosen dual variable and minimizing over the primal variable.