351 citations · 835 across the 27 of their papers we have counts for
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math.OC2023
A First-Order Algorithm for Decentralised Min-Max Problems
Yura Malitsky, Matthew K. Tam
In this work, we consider a connected network of finitely many agents working cooperatively to solve a min-max problem with convex-concave structure. We propose a decentralised fir…
math.OC2023★ 2 cited
Adaptive Proximal Gradient Method for Convex Optimization
Yura Malitsky, Konstantin Mishchenko
In this paper, we explore two fundamental first-order algorithms in convex optimization, namely, gradient descent (GD) and proximal gradient method (ProxGD). Our focus is on making…