unc-optimization
This page is created by the Optimization Group at the Department of Statistics and Operations Research, The University of North Carolina at Chapel Hill, USA
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- 318 Hanes Hall, UNC-Chapel Hill, NC27599, USA
- https://optimization.web.unc.edu/
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StochasticProximalMethods
StochasticProximalMethods PublicA collection of stochastic proximal gradient methods for composite non-convex problems.
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- SGN Public
Implementation of the Stochastic Gauss-Newton algorithm presented at the International Conference on Machine Learning 2020.
unc-optimization/SGN’s past year of commit activity - StochasticProximalMethods Public
A collection of stochastic proximal gradient methods for composite non-convex problems.
unc-optimization/StochasticProximalMethods’s past year of commit activity - ProxHSPGA Public
A Hybrid Proximal Stochastic Policy Gradient Algorithm (ProxHSPGA) to solve composite optimization problems in reinforcement learning.
unc-optimization/ProxHSPGA’s past year of commit activity - AccSPD Public
unc-optimization/AccSPD’s past year of commit activity
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