28 citations · 131 across the 41 of their papers we have counts for
3 papers · 1 filter
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat +1
We propose a novel single-loop decentralized algorithm called DGDA-VR for solving the stochastic nonconvex strongly-concave minimax problem over a connected network of agents.…
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method
Yassine Laguel, Necdet Serhat Aybat, Mert Gürbüzbalaban
We consider stochastic strongly-convex-strongly-concave (SCSC) saddle point (SP) problems which frequently arise in applications ranging from distributionally robust learning to ga…
Lp Quasi-norm Minimization: Algorithm and Applications
Omar M. Sleem, M. E. Ashour, N. S. Aybat +1
Sparsity finds applications in areas as diverse as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense…