12 citations · 14 across the 3 of their papers we have counts for
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math.OC2022★ 2 cited
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm
Bugra Can, Mert Gurbuzbalaban, Necdet Serhat Aybat
In this work, we consider strongly convex strongly concave (SCSC) saddle point (SP) problems where is -smooth,…
math.OC2021
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method
Bugra Can, Saeed Soori, Maryam Mehri Dehnavi +1
This work proposes a distributed algorithm for solving empirical risk minimization problems, called L-DQN, under the master/worker communication model. L-DQN is a distributed limit…
math.OC2020★ 12 cited
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
Yossi Arjevani, Joan Bruna, Bugra Can +3
We introduce a framework for designing primal methods under the decentralized optimization setting where local functions are smooth and strongly convex. Our approach consists of ap…