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.