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Mistake, Manipulation and Margin Guarantees in Online Strategic Classification
We prove convergence, finite mistake and finite manipulation guarantees for a variety of agent cost structures.
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference
Our theoretical contributions extend the practical applicability of sampling algorithms to the noisy black-box and high-dimensional settings.
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