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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...
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08/04/2023
Adaptive Proximal Gradient Method for Convex Optimization
In this paper, we explore two fundamental first-order algorithms in conv...
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12/28/2022
Beyond the Golden Ratio for Variational Inequality Algorithms
We improve the understanding of the golden ratio algorithm, which solves...
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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...
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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 ...
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12/01/2021
Distributed Forward-Backward Methods without Central Coordination
In this work, we propose and analyse forward-backward-type algorithms fo...
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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...
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02/16/2021
Stochastic Variance Reduction for Variational Inequality Methods
We propose stochastic variance reduced algorithms for solving convex-con...
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06/11/2020
Convergence of adaptive algorithms for weakly convex constrained optimization
We analyze the adaptive first order algorithm AMSGrad, for solving a con...
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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...
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10/21/2019
Adaptive gradient descent without descent
We present a strikingly simple proof that two rules are sufficient to au...
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05/27/2019
Revisiting Stochastic Extragradient
We consider a new extension of the extragradient method that is motivate...
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01/23/2019