Lee, Ching-pei

10 publications

ICML 2024 Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning Yen-Ju Chen, Nai-Chieh Huang, Ching-Pei Lee, Ping-Chun Hsieh

JMLR 2024 Accelerating Nuclear-Norm Regularized Low-Rank Matrix Optimization Through Burer-Monteiro Decomposition Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh

NeurIPS 2024 Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network Zih-Syuan Huang, Ching-pei Lee

NeurIPS 2022 Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems Jan Harold Alcantara, Ching-pei Lee

ICLR 2022 Training Structured Neural Networks Through Manifold Identification and Variance Reduction Zih-Syuan Huang, Ching-pei Lee

MLJ 2020 Distributed Block-Diagonal Approximation Methods for Regularized Empirical Risk Minimization Ching-Pei Lee, Kai-Wei Chang

ICML 2020 Manifold Identification for Ultimately Communication-Efficient Distributed Optimization Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee

ICML 2019 First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems Ching-Pei Lee, Stephen Wright

JMLR 2019 The Common-Directions Method for Regularized Empirical Risk Minimization Po-Wei Wang, Ching-pei Lee, Chih-Jen Lin

ICML 2015 Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM Ching-Pei Lee, Dan Roth