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05/25/2023
Strategic Classification under Unknown Personalized Manipulation
We study the fundamental mistake bound and sample complexity in the stra...
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02/15/2022
A Theory of PAC Learnability under Transformation Invariances
Transformation invariances are present in many real-world problems. For ...
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03/04/2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
In recent years, federated learning has been embraced as an approach for...
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03/01/2021
Robust learning under clean-label attack
We study the problem of robust learning under clean-label data-poisoning...
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10/27/2020
Online Learning with Primary and Secondary Losses
We study the problem of online learning with primary and secondary losse...
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10/15/2020
Stochastic Bandits with Vector Losses: Minimizing ℓ^∞-Norm of Relative Losses
Multi-armed bandits are widely applied in scenarios like recommender sys...
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07/02/2020
Structure Adaptive Algorithms for Stochastic Bandits
We study reward maximisation in a wide class of structured stochastic mu...
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06/06/2020
Accurately Solving Physical Systems with Graph Learning
Iterative solvers are widely used to accurately simulate physical system...
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10/25/2018