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03/19/2023
Sequential Persuasion Using Limited Experiments
Bayesian persuasion and its derived information design problem has been ...
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10/04/2022
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Optimizing strategic decisions (a.k.a. computing equilibrium) is key to ...
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08/30/2022
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Deep generative models (DGMs) are data-eager. Essentially, it is because...
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02/26/2021
Optimal Pricing of Information
A decision maker looks to take an active action (e.g., purchase some goo...
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02/21/2020
Green Security Game with Community Engagement
While game-theoretic models and algorithms have been developed to combat...
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01/24/2020
Mechanism Design for Multi-Party Machine Learning
In a multi-party machine learning system, different parties cooperate on...
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06/22/2019
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions
First price auctions are widely used in government contracts and industr...
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06/04/2019
Learning to Clear the Market
The problem of market clearing is to set a price for an item such that q...
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05/09/2018
Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks
Using AI approaches to automatically design mechanisms has been a centra...
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11/28/2017
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions
In this study, we apply reinforcement learning techniques and propose wh...
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07/06/2017
