activity
20172020
most citedUncertainty in Multi-Commodity Routing Networks: When does it help?

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Learning Product Rankings Robust to Fake Users

Negin Golrezaei, Vahideh Manshadi, Jon Schneider +1

In many online platforms, customers' decisions are substantially influenced by product rankings as most customers only examine a few top-ranked products. Concurrently, such platfor…

math.OC2018

A Capacity-Price Game for Uncertain Renewables Resources

Pan Li, Shreyas Sekar, Baosen Zhang

Renewable resources are starting to constitute a growing portion of the total generation mix of the power system. A key difference between renewables and traditional generators is…

cs.LG2018

Multi-Armed Bandits for Correlated Markovian Environments with Smoothed Reward Feedback

Tanner Fiez, Shreyas Sekar, Lillian J. Ratliff

We study a multi-armed bandit problem in a dynamic environment where arm rewards evolve in a correlated fashion according to a Markov chain. Different than much of the work on rela…

cs.DS2018

Risk-Averse Matchings over Uncertain Graph Databases

Charalampos E. Tsourakakis, Shreyas Sekar, Johnson Lam +1

A large number of applications such as querying sensor networks, and analyzing protein-protein interaction (PPI) networks, rely on mining uncertain graph and hypergraph databases.…

cs.GT20171 cited

Uncertainty in Multi-Commodity Routing Networks: When does it help?

Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff +1

We study the equilibrium behavior in a multi-commodity selfish routing game with many types of uncertain users where each user over- or under-estimates their congestion costs by a…