14 citations · 50 across the 7 of their papers we have counts for
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stat.ML2021★ 7 cited
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Tianyi Chen, Yuejiao Sun, Wotao Yin
Stochastic nested optimization, including stochastic compositional, min-max and bilevel optimization, is gaining popularity in many machine learning applications. While the three p…
stat.ML2019
Communication-Censored Distributed Stochastic Gradient Descent
Weiyu Li, Tianyi Chen, Liping Li +2
This paper develops a communication-efficient algorithm to solve the stochastic optimization problem defined over a distributed network, aiming at reducing the burdensome communica…
stat.ML2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios B. Giannakis, Tao Sun +1
This paper presents a new class of gradient methods for distributed machine learning that adaptively skip the gradient calculations to learn with reduced communication and computat…