EE-556 Homework
This repo contains the homework for the graduate course EE-556 Mathematics of Data: from theory to computation, taught ad EPFL by Prof. Volkan Cevher.
The topics of the different assignments are:
- Homework 1: implementation of different descent algorithms, to train SVNs.
- Homework 2: implementation of GANs and optimizers for neural networks.
- Homework 3: multi-class logistic regression and image reconstruction.
- Homework 4: projection-free convex low-rank matrix optimization, image deblurring with blind deconvolution, k-means clustering by semidefinite programming.