Ching-pei Lee

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Variance Reduction

Optimization Problems

Empirical Risk Minimization

Top Venues

J. Optim. Theory Appl.

Publications

Zih-Syuan Huang, Ching-pei Lee
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network. CoRR (2024)
Ching-pei Lee
Accelerating inexact successive quadratic approximation for regularized optimization through manifold identification. Math. Program. 201 (1) (2023)
Jan Harold Alcantara, Ching-pei Lee
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems. NeurIPS (2022)
Zih-Syuan Huang, Ching-pei Lee
Training Structured Neural Networks Through Manifold Identification and Variance Reduction. ICLR (2022)
Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting. CoRR (2022)
Zih-Syuan Huang, Ching-pei Lee
Training Structured Neural Networks Through Manifold Identification and Variance Reduction. CoRR (2021)
Ching-pei Lee, Stephen J. Wright
Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization. J. Optim. Theory Appl. 185 (1) (2020)
Stephen J. Wright, Ching-pei Lee
Analyzing random permutations for cyclic coordinate descent. Math. Comput. 89 (325) (2020)
Ching-pei Lee, Cong Han Lim, Stephen J. Wright
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization. CoRR (2019)
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)
Ching-pei Lee, Stephen J. Wright
Inexact Successive quadratic approximation for regularized optimization. Comput. Optim. Appl. 72 (3) (2019)
Ching-pei Lee, Stephen J. Wright
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems. ICML (2019)
Ching-pei Lee, Cong Han Lim, Stephen J. Wright
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. CoRR (2018)
Ching-pei Lee, Cong Han Lim, Stephen J. Wright
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization. KDD (2018)
Ching-pei Lee, Stephen J. Wright
Using Neural Networks to Detect Line Outages from PMU Data. CoRR (2017)