research
∙
08/23/2023
A First-Order Algorithm for Decentralised Min-Max Problems
In this work, we consider a connected network of finitely many agents wo...
share
research
∙
08/04/2023
Adaptive Proximal Gradient Method for Convex Optimization
In this paper, we explore two fundamental first-order algorithms in conv...
research
∙
12/28/2022
Beyond the Golden Ratio for Variational Inequality Algorithms
We improve the understanding of the golden ratio algorithm, which solves...
research
∙
11/01/2022
Over-the-Air Computation for Distributed Systems: Something Old and Something New
Facing the upcoming era of Internet-of-Things and connected intelligence...
research
∙
08/24/2022
Over-the-Air Computation with Multiple Receivers: A Space-Time Approach
Over-the-air (OtA) computation is a newly emerged concept for achieving ...
research
∙
12/01/2021
Distributed Forward-Backward Methods without Central Coordination
In this work, we propose and analyse forward-backward-type algorithms fo...
research
∙
10/28/2021
A first-order primal-dual method with adaptivity to local smoothness
We consider the problem of finding a saddle point for the convex-concave...
research
∙
02/16/2021
Stochastic Variance Reduction for Variational Inequality Methods
We propose stochastic variance reduced algorithms for solving convex-con...
research
∙
06/11/2020
Convergence of adaptive algorithms for weakly convex constrained optimization
We analyze the adaptive first order algorithm AMSGrad, for solving a con...
research
∙
03/21/2020
A new regret analysis for Adam-type algorithms
In this paper, we focus on a theory-practice gap for Adam and its varian...
research
∙
10/21/2019
Adaptive gradient descent without descent
We present a strikingly simple proof that two rules are sufficient to au...
research
∙
05/27/2019
Revisiting Stochastic Extragradient
We consider a new extension of the extragradient method that is motivate...
research
∙
01/23/2019
