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Yan Zhang

6 papers hereh-index 11729 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • math.OC4
  • cs.LG2
same name
  • Yan Zhang — 54 papers, h 24
  • Yan Zhang — 38 papers, h 76
  • Yan Zhang — 23 papers
  • Yan Zhang — 15 papers
  • Yan Zhang — 14 papers
  • Yan Zhang — 13 papers, h 61

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedA Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret

4 citations · 7 across the 4 of their papers we have counts for

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2021★ 1 cited

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback

Yi Shen, Yan Zhang, Scott Nivison +2

We consider a zeroth-order distributed optimization problem, where the global objective function is a black-box function and, as such, its gradient information is inaccessible to t…

math.OC2019★ 4 cited

A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret

Yan Zhang, Robert J. Ravier, Michael M. Zavlanos +1

In this paper, we consider the problem of distributed online convex optimization, where a network of local agents aim to jointly optimize a convex function over a period of multipl…

math.OC2019

Distributed Online Convex Optimization with Improved Dynamic Regret

Yan Zhang, Robert J. Ravier, Vahid Tarokh +1

In this paper, we consider the problem of distributed online convex optimization, where a group of agents collaborate to track the global minimizers of a sum of time-varying object…

math.OC2018

Augmented Lagrangian Optimization under Fixed-Point Arithmetic

Yan Zhang, Michael M. Zavlanos

In this paper, we propose an inexact Augmented Lagrangian Method (ALM) for the optimization of convex and nonsmooth objective functions subject to linear equality constraints and b…

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