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W. Weng

8 papers hereh-index 7160 citations20 works total

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

author position
  • first author4
  • last author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.PF3
  • cs.DS1
same name
  • W. Weng — 17 papers, h 19
  • W. Weng — 2 papers, h 11
  • W. Weng — 1 paper, h 4
  • W. Weng — 1 paper, h 2
  • W. Weng — 1 paper, h 2
  • W. Weng — 1 paper, h 6

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
20202025
most citedOptimal Load Balancing in Bipartite Graphs

5 citations · 17 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2024★ 4 cited

Learning to Defer in Congested Systems: The AI-Human Interplay

Thodoris Lykouris, Wentao Weng

High-stakes applications rely on combining Artificial Intelligence (AI) and humans for responsive and reliable decision making. For example, content moderation in social media plat…

cs.LG2023★ 1 cited

The Transient Cost of Learning in Queueing Systems

Daniel Freund, Thodoris Lykouris, Wentao Weng

Queueing systems are widely applicable stochastic models with use cases in communication networks, healthcare, service systems, etc. Although their optimal control has been extensi…

cs.LG2022★ 3 cited

Efficient decentralized multi-agent learning in asymmetric bipartite queueing systems

Daniel Freund, Thodoris Lykouris, Wentao Weng

We study decentralized multi-agent learning in bipartite queueing systems, a standard model for service systems. In particular, N agents request service from K servers in a fully d…

cs.LG2020★ 3 cited

The Mean-Squared Error of Double Q-Learning

Wentao Weng, Harsh Gupta, Niao He +2

In this paper, we establish a theoretical comparison between the asymptotic mean-squared error of Double Q-learning and Q-learning. Our result builds upon an analysis for linear st…

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