42 citations · 157 across the 25 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.LG2017★ 1 cited
Nesterov's Acceleration For Approximate Newton
Haishan Ye, Zhihua Zhang
Optimization plays a key role in machine learning. Recently, stochastic second-order methods have attracted much attention due to their low computational cost in each iteration. Ho…
cs.LG2017★ 13 cited
Robust Frequent Directions with Application in Online Learning
Luo Luo, Cheng Chen, Zhihua Zhang +2
The frequent directions (FD) technique is a deterministic approach for online sketching that has many applications in machine learning. The conventional FD is a heuristic procedure…
math.NA2017★ 5 cited
Approximate Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
Many machine learning models involve solving optimization problems. Thus, it is important to deal with a large-scale optimization problem in big data applications. Recently, subsam…