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Stochastic-Quasi-Newton
Stochastic-Quasi-Newton PublicForked from 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.
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Stochastic-Gradient-Monte-Carlo
Stochastic-Gradient-Monte-Carlo PublicKolmogorov semigroups are a natural way to combine MCMC methods with Stochastic Gradient Descent.
Python 1
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examination-scheduling
examination-scheduling PublicForked from mickael-grima/examination-scheduling
This was a project case study on examination scheduling at the TU Munich
OpenEdge ABL
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