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06/05/2023
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
High-quality machine learning models are dependent on access to high-qua...
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06/01/2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
We study the design of loss functions for click-through rates (CTR) to o...
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10/19/2022
A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design
We study reserve price optimization in multi-phase second price auctions...
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05/31/2022
One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning
While parallelism has been extensively used in Reinforcement Learning (R...
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05/05/2022
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Dynamic mechanism design has garnered significant attention from both co...
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04/28/2022
Personalized Federated Learning with Multiple Known Clusters
We consider the problem of personalized federated learning when there ar...
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02/25/2022
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
Dynamic mechanism design studies how mechanism designers should allocate...
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01/31/2022