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Hu Ding

Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems

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Nov 02, 2024
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An Effective Dynamic Gradient Calibration Method for Continual Learning

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Jul 30, 2024
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Approximate Algorithms For $k$-Sparse Wasserstein Barycenter With Outliers

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Apr 20, 2024
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A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

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Oct 27, 2023
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Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers

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Jan 07, 2023
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Sublinear Time Algorithms for Several Geometric Optimization (With Outliers) Problems In Machine Learning

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Jan 07, 2023
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Coresets for Wasserstein Distributionally Robust Optimization Problems

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Oct 09, 2022
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Coresets for Relational Data and The Applications

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Oct 09, 2022
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A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment

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Sep 07, 2022
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A Novel Sequential Coreset Method for Gradient Descent Algorithms

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Dec 05, 2021
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