3 papers
math.OC2019
Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems
Renbo Zhao
We develop stochastic first-order primal-dual algorithms to solve a class of convex-concave saddle-point problems. When the saddle function is strongly convex in the primal variabl…
stat.ML2017
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction
Renbo Zhao, William B. Haskell, Jiashi Feng
We propose a unified framework to speed up the existing stochastic matrix factorization (SMF) algorithms via variance reduction. Our framework is general and it subsumes several we…
cs.IR2016
Adversarial Top- Ranking
Changho Suh, Vincent Y. F. Tan, Renbo Zhao
We study the top- ranking problem where the goal is to recover the set of top- ranked items out of a large collection of items based on partially revealed preferences. We con…