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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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02/15/2023
Best Arm Identification for Stochastic Rising Bandits
Stochastic Rising Bandits is a setting in which the values of the expect...
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01/31/2023
Constrained Phi-Equilibria
The computational study of equilibria involving constraints on players' ...
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12/07/2022
Stochastic Rising Bandits
This paper is in the field of stochastic Multi-Armed Bandits (MABs), i.e...
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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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09/08/2022
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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08/17/2022
Last-iterate Convergence to Trembling-hand Perfect Equilibria
Designing efficient algorithms to find Nash equilibrium (NE) refinements...
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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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05/20/2022
ARLO: A Framework for Automated Reinforcement Learning
Automated Reinforcement Learning (AutoRL) is a relatively new area of re...
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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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09/30/2021
Adapting Bandit Algorithms for Settings with Sequentially Available Arms
Although the classical version of the Multi-Armed Bandits (MAB) framewor...
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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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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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11/17/2016