activity
20202025
most citedOptimal Load Balancing in Bipartite Graphs

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

collaborators

8 papers

cs.DS2025

Scheduling in Queueing Systems with Uncertain and Evolving Holding Costs

Caner Gocmen, Thodoris Lykouris, Deeksha Sinha +1

In content moderation for social media platforms, the cost of delaying the review of a content is proportional to its view trajectory, which fluctuates and is apriori unknown. Moti…

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.PF2021

Labor-right Protecting Dispatch of Meal Delivery Platforms

Wentao Weng, Yang Yu

The boom in the meal delivery industry brings growing concern about the labor rights of riders. Current dispatch policies of meal-delivery platforms focus mainly on satisfying cons…

cs.PF2020★ 5 cited

Optimal Load Balancing in Bipartite Graphs

Wentao Weng, Xingyu Zhou, R. Srikant

Applications in cloud platforms motivate the study of efficient load balancing under job-server constraints and server heterogeneity. In this paper, we study load balancing on a bi…

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…

cs.PF2020★ 1 cited

Achieving Zero Asymptotic Queueing Delay for Parallel Jobs

Wentao Weng, Weina Wang

Zero queueing delay is highly desirable in large-scale computing systems. Existing work has shown that it can be asymptotically achieved by using the celebrated Power-of--choice…