Alex Slivkins: publications by topic

[home | all pubs] [Networks & embeddings, social networks]
[Explore-exploit learning, algorithmic economics, crowdsourcing]
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Networks & embeddings, social networks

Explore-exploit learning, algorithmic economics, crowdsourcing

Explore-exploit learning with resource constraints: e.g. dynamic pricing with limited supply, dynamic procurement on a budget, pay-per-click ad allocation with advertisers' budgets, etc.

Truthful mechanisms that learn over time. We study settings in which the algorithmic challenges of online learning, and particularly the exploration-exploitation tradeoff, are combined with the game-theoretic challenges of interacting with self-interested agents. Crowdsourcing systems: design of algorithms and incentives. Multi-armed bandits with a similarity structure on arms and/or contexts. Multi-armed bandits in a changing environment.
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