lorenzkuhn / statisticallearningtheory

Solutions to Coding Assignments

Selected Solutions to Coding Assignments of the 2018 edition of Statistical Learning Theory at ETH Zurich

This repo contains the solutions to the following coding assignments:

• Locally Linear Embedding (slt-ce-1.ipynb)
• MCMC sampling methods (slt-ce-2.ipynb)
• Meanfield Approximation for Image Denoising (slt-ce-7.ipynb)

For every assignment algorithms from assigned papers were implemented. Each notebook contains a summary of the theory, implementation of the algorithm as well as an analysis.

Since the code has been transferred from an ETH internal platform the version history is unavailable.