STOCHASTIC AND RANDOMIZED ALGORITHMS FOR LARGE-SCALE OPTIMIZATION IN MACHINE LEARNING
Master's
Saved in:
Main Author: | ZHAO RENBO |
---|---|
Other Authors: | MATHEMATICS |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/148566 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
A predictor-corrector algorithm for a class of nonlinear saddle point problems
by: Sun, J., et al.
Published: (2013) -
STOCHASTIC BREGMAN GRADIENT-TYPE ALGORITHMS FOR NONCONVEX OPTIMIZATION AND CONVEX-CONCAVE SADDLE POINT PROBLEMS
by: DING KUANGYU
Published: (2023) -
A new decomposition technique in solving multistage stochastic linear programs by infeasible interior point methods
by: Liu, X., et al.
Published: (2013) -
ADVANCED OPTIMIZATION ALGORITHMS FOR LARGE-SCALE CONTROL AND PLANNING PROBLEMS
by: CHENG, ZILONG
Published: (2022) -
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation
by: Tan, K.C., et al.
Published: (2014)