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2020 – today
- 2024
[c5]Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee, Ping-Chun Hsieh:
Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning. ICML 2024- [i6]Zih-Syuan Huang, Ching-pei Lee:
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network. CoRR abs/2403.14398 (2024) - 2022
- [c4]Zih-Syuan Huang, Ching-pei Lee:
Training Structured Neural Networks Through Manifold Identification and Variance Reduction. ICLR 2022 - [c3]Jan Harold Alcantara, Ching-pei Lee:
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems. NeurIPS 2022 - [i5]Ching-pei Lee
, Ling Liang, Tianyun Tang, Kim-Chuan Toh:
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting. CoRR abs/2204.14067 (2022) - 2021
- [i4]Zih-Syuan Huang, Ching-pei Lee:
Training Structured Neural Networks Through Manifold Identification and Variance Reduction. CoRR abs/2112.02612 (2021) - 2020
- [j4]Ching-pei Lee, Stephen J. Wright:
Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization. J. Optim. Theory Appl. 185(1): 151-187 (2020) - [j3]Stephen J. Wright, Ching-pei Lee:
Analyzing random permutations for cyclic coordinate descent. Math. Comput. 89(325): 2217-2248 (2020)
2010 – 2019
- 2019
- [j2]Ching-pei Lee, Stephen J. Wright:
Inexact Successive quadratic approximation for regularized optimization. Comput. Optim. Appl. 72(3): 641-674 (2019) - [j1]Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton:
Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Comput. Biol. 15(8) (2019) - [c2]Ching-pei Lee, Stephen J. Wright:
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems. ICML 2019: 3754-3762 - [i3]Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization. CoRR abs/1912.06508 (2019) - 2018
- [c1]Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. KDD 2018: 1646-1655 - [i2]Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. CoRR abs/1803.01370 (2018) - 2017
- [i1]Ching-pei Lee, Stephen J. Wright:
Using Neural Networks to Detect Line Outages from PMU Data. CoRR abs/1710.05916 (2017)
Coauthor Index
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