14 citations · 25 across the 3 of their papers we have counts for
3 papers
math.OC2017★ 8 cited
A Unified Scheme to Accelerate Adaptive Cubic Regularization and Gradient Methods for Convex Optimization
Bo Jiang, Tianyi Lin, Shuzhong Zhang
In this paper we propose a unified two-phase scheme for convex optimization to accelerate: (1) the adaptive cubic regularization methods with exact/inexact Hessian matrices, and (2…
math.OC2017★ 3 cited
The discrete moment problem with nonconvex shape constraints
Xi Chen, Simai He, Bo Jiang +2
The discrete moment problem is a foundational problem in distribution-free robust optimization, where the goal is to find a worst-case distribution that satisfies a given set of mo…
math.OC2017★ 14 cited
Vector Transport-Free SVRG with General Retraction for Riemannian Optimization: Complexity Analysis and Practical Implementation
Bo Jiang, Shiqian Ma, Anthony Man-Cho So +1
In this paper, we propose a vector transport-free stochastic variance reduced gradient (SVRG) method with general retraction for empirical risk minimization over Riemannian manifol…