60 citations · 307 across the 33 of their papers we have counts for
4 papers · 2 filters
Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction
Bin Gu, Zhouyuan Huo, Heng Huang
Zeroth-order (derivative-free) optimization attracts a lot of attention in machine learning, because explicit gradient calculations may be computationally expensive or infeasible.…
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization
Bin Gu, De Wang, Zhouyuan Huo +1
In machine learning research, the proximal gradient methods are popular for solving various optimization problems with non-smooth regularization. Inexact proximal gradient methods…
Asynchronous Stochastic Block Coordinate Descent with Variance Reduction
Bin Gu, Zhouyuan Huo, Heng Huang
Asynchronous parallel implementations for stochastic optimization have received huge successes in theory and practice recently. Asynchronous implementations with lock-free are more…
Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction
Zhouyuan Huo, Bin Gu, Heng Huang
In the era of big data, optimizing large scale machine learning problems becomes a challenging task and draws significant attention. Asynchronous optimization algorithms come out a…