44 citations · 543 across the 47 of their papers we have counts for
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math.OC2019★ 24 cited
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
Alireza Fallah, Mert Gurbuzbalaban, Asuman Ozdaglar +2
We study distributed stochastic gradient (D-SG) method and its accelerated variant (D-ASG) for solving decentralized strongly convex stochastic optimization problems where the obje…
math.OC2019★ 15 cited
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Thanh Huy Nguyen, Umut Şimşekli, Gaël Richard
Recent studies on diffusion-based sampling methods have shown that Langevin Monte Carlo (LMC) algorithms can be beneficial for non-convex optimization, and rigorous theoretical gua…