ostrodmit
Machine Learning, Mathematical Statistics, Optimization Theory, Operations Research
University of Southern CaliforniaLos Angeles
ostrodmit's Stars
PerformanceEstimation/Performance-Estimation-Toolbox
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
sergekomarov/bonzo-pic
particle-in-cell code for plasma modelling, in development
sergekomarov/bonzo
Grid-based MHD code for plasma modelling
sinaBaharlouei/ML
Algorithms of Machine Learning
sinaBaharlouei/DOE
Advanced Design of Experiments: All homeworks and projects have been implemented by R language.
sinaBaharlouei/I-CONVEX
meisamr/ParallelGroupLassowithRenyiClassifier
meisamr/Parallel_Lasso_Solver
Use RPSUM Algorithm for Solving LASSO
meisamr/Sparse-Dictionary-Learning
Codes for dictionary learning for sparse representation
flykiller/sublinear-svm
implementation of sublinear smv algorithm with O(d+n+k) complexity
freuk/obandit
ocaml multi-armed bandit module