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Qifan Song

Parallelly Tempered Generative Adversarial Networks

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Nov 18, 2024
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Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility

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Oct 09, 2024
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Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory

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Jul 09, 2024
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Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability

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Mar 06, 2024
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Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data

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Feb 01, 2024
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Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective

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Jan 26, 2024
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Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes

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Nov 10, 2023
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Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo

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Oct 25, 2023
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Personalized Federated X -armed Bandit

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Oct 25, 2023
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On Neural Network approximation of ideal adversarial attack and convergence of adversarial training

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Jul 30, 2023
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