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Qianqian Tong

Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization

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Jul 24, 2024
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Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods

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Mar 13, 2021
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Federated Nonconvex Sparse Learning

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Dec 31, 2020
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Effective Proximal Methods for Non-convex Non-smooth Regularized Learning

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Oct 01, 2020
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Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data

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Sep 14, 2020
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A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging

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May 07, 2020
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Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM

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Sep 11, 2019
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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

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Feb 21, 2019
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