399 citations · 3.4k across the 95 of their papers we have counts for
4 papers · 2 filters
Variance Reduced methods for Non-convex Composition Optimization
Liu Liu, Ji Liu, Dacheng Tao
This paper explores the non-convex composition optimization in the form including inner and outer finite-sum functions with a large number of component functions. This problem aris…
Duality-free Methods for Stochastic Composition Optimization
Liu Liu, Ji Liu, Dacheng Tao
We consider the composition optimization with two expected-value functions in the form of ,…
An Interactive Greedy Approach to Group Sparsity in High Dimensions
Wei Qian, Wending Li, Yasuhiro Sogawa +3
Sparsity learning with known grouping structure has received considerable attention due to wide modern applications in high-dimensional data analysis. Although advantages of using…
Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem
Jie Zhong, Yijun Huang, Ji Liu
This paper considers the multi-armed thresholding bandit problem -- identifying all arms whose expected rewards are above a predefined threshold via as few pulls (or rounds) as pos…