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09/18/2023
Learning Optimal Contracts: How to Exploit Small Action Spaces
We study principal-agent problems in which a principal commits to an out...
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08/30/2023
Hidden-Role Games: Equilibrium Concepts and Computation
In this paper, we study the class of games known as hidden-role games in...
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07/12/2023
Online Information Acquisition: Hiring Multiple Agents
We investigate the mechanism design problem faced by a principal who hir...
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06/08/2023
Steering No-Regret Learners to Optimal Equilibria
We consider the problem of steering no-regret-learning agents to play de...
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06/08/2023
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
We introduce a new approach for computing optimal equilibria via learnin...
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04/27/2023
A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints
We study online learning in episodic constrained Markov decision process...
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03/02/2023
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
Bayesian persuasion studies how an informed sender should influence beli...
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02/06/2023
Online Mechanism Design for Information Acquisition
We study the problem of designing mechanisms for information acquisition...
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01/31/2023
Selling Information while Being an Interested Party
We study the algorithmic problem faced by an information holder (seller)...
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01/31/2023
Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcome
We study hidden-action principal-agent problems with multiple agents. Th...
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01/31/2023
Constrained Phi-Equilibria
The computational study of equilibria involving constraints on players' ...
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12/12/2022
Autoregressive Bandits
Autoregressive processes naturally arise in a large variety of real-worl...
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11/17/2022
Dynamic Pricing with Volume Discounts in Online Settings
According to the main international reports, more pervasive industrial a...
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09/15/2022
A Unifying Framework for Online Optimization with Long-Term Constraints
We study online learning problems in which a decision maker has to take ...
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09/08/2022
Sequential Information Design: Learning to Persuade in the Dark
We study a repeated information design problem faced by an informed send...
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06/01/2022
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts
There is a rising interest in industrial online applications where data ...
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04/28/2022
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding
The increasing competition in digital advertising induced a proliferatio...
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02/22/2022
Designing Menus of Contracts Efficiently: The Power of Randomization
We study hidden-action principal-agent problems in which a principal com...
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02/01/2022
Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting
Bayesian persuasion studies how an informed sender should partially disc...
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01/28/2022
Efficiency of Ad Auctions with Price Displaying
Most of the economic reports forecast that almost half of the worldwide ...
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01/28/2022
Signaling in Posted Price Auctions
We study single-item single-unit Bayesian posted price auctions, where b...
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01/24/2022
Public Signaling in Bayesian Ad Auctions
We study signaling in Bayesian ad auctions, in which bidders' valuations...
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01/18/2022
Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty
In online marketing, the advertisers' goal is usually a tradeoff between...
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06/11/2021
Multi-Receiver Online Bayesian Persuasion
Bayesian persuasion studies how an informed sender should partially disc...
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06/01/2021
Bayesian Agency: Linear versus Tractable Contracts
We study principal-agent problems in which a principal commits to an out...
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04/04/2021
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
The existence of simple uncoupled no-regret learning dynamics that conve...
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12/11/2020
Trembling-Hand Perfection and Correlation in Sequential Games
We initiate the study of trembling-hand perfection in sequential (i.e., ...
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12/10/2020
Online Posted Pricing with Unknown Time-Discounted Valuations
We study the problem of designing posted-price mechanisms in order to se...
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12/09/2020
Persuading Voters in District-based Elections
We focus on the scenario in which an agent can exploit his information a...
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09/21/2020
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games
We focus on the problem of finding an optimal strategy for a team of two...
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04/01/2020
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
The existence of simple, uncoupled no-regret dynamics that converge to c...
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04/01/2020
No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
Recently, there has been growing interest around less-restrictive soluti...
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03/03/2020
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns
Pay-per-click advertising includes various formats (e.g., search, contex...
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02/12/2020
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
Network congestion games are a well-understood model of multi-agent stra...
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02/12/2020
Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive
Persuasion studies how an informed principal may influence the behavior ...
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12/16/2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
Many real-world applications involve teams of agents that have to coordi...
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11/18/2019
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
We tackle the problem of learning equilibria in simulation-based games. ...
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11/14/2019
Election Control in Social Networks via Edge Addition or Removal
We focus on the scenario in which messages pro and/or against one or mul...
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10/14/2019
Learning to Correlate in Multi-Player General-Sum Sequential Games
In the context of multi-player, general-sum games, there is an increasin...
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08/28/2019
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud
We focus on the following natural question: is it possible to influence ...
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08/02/2019
Bayesian Persuasion with Sequential Games
We study an information-structure design problem (a.k.a. persuasion) wit...
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05/30/2019
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions (Extended Version)
We study the problem of finding Stackelberg equilibria in games with a m...
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05/30/2019
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders (Extended Version)
We study the problem of computing correlated strategies to commit to in ...
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02/11/2019
Election Manipulation on Social Networks with Messages on Multiple Candidates
We study the problem of election control through social influence when t...
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02/11/2019
Election Manipulation on Social Networks with Positive and Negative Messages
We study the problem of election control through social influence when t...
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01/18/2019
Computing Optimal Coarse Correlated Equilibria in Sequential Games
We investigate the computation of equilibria in extensive-form games whe...
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11/09/2018
Quasi-Perfect Stackelberg Equilibrium
Equilibrium refinements are important in extensive-form (i.e., tree-form...
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08/30/2018
Leadership in Singleton Congestion Games: What is Hard and What is Easy
We study the problem of computing Stackelberg equilibria Stackelberg gam...
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08/04/2018
Computing a Pessimistic Leader-Follower Equilibrium with Multiple Followers: the Mixed-Pure Case
The search problem of computing a leader-follower equilibrium has been w...
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07/31/2018