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Feng Ruan

On the Limitation of Kernel Dependence Maximization for Feature Selection

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Jun 11, 2024
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Subgradient Convergence Implies Subdifferential Convergence on Weakly Convex Functions: With Uniform Rates Guarantees

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May 16, 2024
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Nonparametric Modern Hopfield Models

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Apr 05, 2024
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A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules

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Apr 01, 2024
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Kernel Learning in Ridge Regression "Automatically" Yields Exact Low Rank Solution

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Oct 18, 2023
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Universality of max-margin classifiers

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Sep 29, 2023
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FastCPH: Efficient Survival Analysis for Neural Networks

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Aug 21, 2022
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On the Self-Penalization Phenomenon in Feature Selection

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Oct 12, 2021
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Taming Nonconvexity in Kernel Feature Selection---Favorable Properties of the Laplace Kernel

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Jun 29, 2021
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Bandit Learning in Decentralized Matching Markets

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Dec 31, 2020
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