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Guanghui Lan

65 papers hereh-index 3911.4k citations117 works total

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

author position
  • sole author5
  • first author16
  • middle author15
  • last author28

Across the 64 of 65 papers where every author was matched, so the position is known.

fields
  • math.OC49
  • cs.LG13
  • stat.ML2
  • cs.CC1
same name
  • Guanghui Lan — 5 papers, h 3
  • Guanghui Lan — 5 papers, h 2
  • Guanghui Lan — 1 paper, h 2

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
20132023
most citedThe Complexity of Large-scale Convex Programming under a Linear Optimization Oracle

82 citations · 546 across the 65 of their papers we have counts for

collaborators
Showing 2023 · math.OCShow all

4 papers · 2 filters

math.OC2023

First-order Policy Optimization for Robust Policy Evaluation

Yan Li, Guanghui Lan

We adopt a policy optimization viewpoint towards policy evaluation for robust Markov decision process with s-rectangular ambiguity sets. The developed method, named firs…

math.OC2023

Accelerated stochastic approximation with state-dependent noise

Sasila Ilandarideva, Anatoli Juditsky, Guanghui Lan +1

We consider a class of stochastic smooth convex optimization problems under rather general assumptions on the noise in the stochastic gradient observation. As opposed to the classi…

math.OC2023★ 2 cited

Numerical Methods for Convex Multistage Stochastic Optimization

Guanghui Lan, Alexander Shapiro

Optimization problems involving sequential decisions in a stochastic environment were studied in Stochastic Programming (SP), Stochastic Optimal Control (SOC) and Markov Decision P…

math.OC2023★ 2 cited

Dual dynamic programming for stochastic programs over an infinite horizon

Caleb Ju, Guanghui Lan

We consider solving stochastic programs over an infinite horizon. By leveraging the stationarity of the problem, we develop a novel continually-exploring infinite-horizon explorati…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.