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09/10/2020
Learning Product Rankings Robust to Fake Users
In many online platforms, customers' decisions are substantially influen...
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07/06/2018
Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences
The design of personalized incentives or recommendations to improve user...
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04/17/2018
A Capacity-Price Game for Uncertain Renewables Resources
Renewable resources are starting to constitute a growing portion of the ...
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03/11/2018
Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type
Design of incentives or recommendations to users is becoming more common...
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01/09/2018
Risk-Averse Matchings over Uncertain Graph Databases
A large number of applications such as querying sensor networks, and ana...
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09/25/2017
Uncertainty in Multi-Commodity Routing Networks: When does it help?
We study the equilibrium quality under user uncertainty in a multi-commo...
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10/13/2016
Truthful Mechanisms for Matching and Clustering in an Ordinal World
We study truthful mechanisms for matching and related problems in a part...
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12/17/2015
Blind, Greedy, and Random: Ordinal Approximation Algorithms for Matching and Clustering
We study Matching and other related problems in a partial information se...
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08/27/2015
