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Guangzeng Xie

Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization

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Jun 03, 2021
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Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent

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Apr 12, 2021
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Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction

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Mar 22, 2021
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DIPPA: An improved Method for Bilinear Saddle Point Problems

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Mar 15, 2021
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Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs

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Oct 31, 2020
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Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

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Sep 05, 2020
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Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond

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Aug 30, 2020
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A Stochastic Proximal Point Algorithm for Saddle-Point Problems

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Sep 13, 2019
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A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization

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Aug 22, 2019
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Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks

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May 17, 2018
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