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07/31/2023
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
Coordinate descent methods are popular in machine learning and optimizat...
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10/07/2022
Learning Stackelberg Equilibria and Applications to Economic Design Games
We study the use of reinforcement learning to learn the optimal leader's...
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06/22/2022
Optimal Local Bayesian Differential Privacy over Markov Chains
In the literature of data privacy, differential privacy is the most popu...
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06/09/2021
A New Notion of Individually Fair Clustering: α-Equitable k-Center
Clustering is a fundamental problem in unsupervised machine learning, an...
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03/02/2021
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Metric clustering is fundamental in areas ranging from Combinatorial Opt...
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07/14/2020