Ran Xin | DeepAI

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Featured Co-authors

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Anit Kumar Sahu
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Dusan Jakovetic
18 publications
Muhammad I. Qureshi
4 publications

∙ 02/07/2022

Variance reduced stochastic optimization over directed graphs with row and column stochastic weights

This paper proposes AB-SAGA, a first-order distributed stochastic optimi...

0 Muhammad I. Qureshi, et al. ∙

∙ 02/12/2021

A hybrid variance-reduced method for decentralized stochastic non-convex optimization

This paper considers decentralized stochastic optimization over a networ...

0 Ran Xin, et al. ∙

∙ 11/07/2020

A fast randomized incremental gradient method for decentralized non-convex optimization

We study decentralized non-convex finite-sum minimization problems descr...

0 Ran Xin, et al. ∙

∙ 09/12/2020

A general framework for decentralized optimization with first-order methods

Decentralized optimization to minimize a finite sum of functions over a ...

0 Ran Xin, et al. ∙

∙ 08/17/2020

A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization

This paper describes a near-optimal stochastic first-order gradient meth...

0 Ran Xin, et al. ∙

∙ 08/13/2020

Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs

In this paper, we propose Push-SAGA, a decentralized stochastic first-or...

0 Muhammad I. Qureshi, et al. ∙

∙ 08/10/2020

An improved convergence analysis for decentralized online stochastic non-convex optimization

In this paper, we study decentralized online stochastic non-convex optim...

0 Ran Xin, et al. ∙

∙ 05/15/2020

S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs

In this report, we study decentralized stochastic optimization to minimi...

0 Muhammad I. Qureshi, et al. ∙

∙ 02/13/2020

Gradient tracking and variance reduction for decentralized optimization and machine learning

Decentralized methods to solve finite-sum minimization problems are impo...

0 Ran Xin, et al. ∙

∙ 10/08/2019

Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking – Part II: GT-SVRG

Decentralized stochastic optimization has recently benefited from gradie...

0 Ran Xin, et al. ∙

∙ 07/23/2019

Decentralized Stochastic First-Order Methods for Large-scale Machine Learning

Decentralized consensus-based optimization is a general computational fr...

0 Ran Xin, et al. ∙

∙ 03/18/2019

Distributed stochastic optimization with gradient tracking over strongly-connected networks

In this paper, we study distributed stochastic optimization to minimize ...

0 Ran Xin, et al. ∙

∙ 01/21/2019

Distributed Nesterov gradient methods over arbitrary graphs

In this letter, we introduce a distributed Nesterov method, termed as AB...

0 Ran Xin, et al. ∙

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