895 citations · 1k across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 32 cited
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen, Tiancong Chen, Haoran Sun +2
Recently, there is a growing interest in the study of median-based algorithms for distributed non-convex optimization. Two prominent such algorithms include signSGD with majority v…
cs.LG2018★ 93 cited
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen, Sijia Liu, Ruoyu Sun +1
This paper studies a class of adaptive gradient based momentum algorithms that update the search directions and learning rates simultaneously using past gradients. This class, whic…
cs.IT2017★ 895 cited
Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management
Haoran Sun, Xiangyi Chen, Qingjiang Shi +3
For the past couple of decades, numerical optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design. Ho…