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GitHub topics: proximal-regularization

JuliaSmoothOptimizers/RegularizedProblems.jl

Test Cases for Regularized Optimization

Language: Julia - Size: 566 KB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 7

experiencor/online-machine-learning

Implementation of an online learning algorithm to do classification under concept drift

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 9

jameschapman19/proxtorch

An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.

Language: Python - Size: 429 KB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

wedgeCountry/Stochastic-Quasi-Newton Fork of heidekrueger/CaseStudiesMachineLearning

This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.

Language: Python - Size: 294 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1

Related Keywords
proximal-regularization 4 proximal-operators 2 julia 1 optimization 1 proximal-algorithms 1 proximal-gradient-method 1 test-problems 1 follow-the-regularized-leader 1 machine-learning 1 online-learning-algorithms 1 proximal-gradient-descent 1 proximal-operator 1 dictionary-learning 1 quasi-newton 1 sgd 1 sgd-optimizer 1