722 citations · 998 across the 13 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
math.OC2018★ 1 cited
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization
Zhize Li, Jian Li
Anderson acceleration (or Anderson mixing) is an efficient acceleration method for fixed point iterations , e.g., gradient descent can be viewed as iteratively appl…
cs.LG2018★ 10 cited
Gradient Boosting With Piece-Wise Linear Regression Trees
Yu Shi, Jian Li, Zhize Li
Gradient Boosted Decision Trees (GBDT) is a very successful ensemble learning algorithm widely used across a variety of applications. Recently, several variants of GBDT training al…
math.OC2018★ 66 cited
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
Zhize Li, Jian Li
We analyze stochastic gradient algorithms for optimizing nonconvex, nonsmooth finite-sum problems. In particular, the objective function is given by the summation of a differentiab…