SS 2016: Optimization for Machine Learning.
SS 2015: Machine Learning II.
See also the teaching web-page of the Computer Vision Lab Dresden.
In winter semester 2011 at Heidelberg University I delivered the lecture course entitled Variational Image Analysis and Pattern Recognition together with my collegue Dr. Frank Lenzen.
Lecture draft w/o slides [pdf]; Excersises [pdf]; Slides: introduction [pdf] and applications [pdf].
Some of my presentations
Tutorial on the diversity problem Diversity meets Deep Networks — Inference, Ensemble Learning, and Applications at CVPR 2016
Tutorial on Inference and Learning for Discrete Graphical Models: Theory and Practice at ICCV 2015
Solving Large Scale Submodular MRF Energy Minimization Problems. Overview of some results from the PhD Thesis of Ivan Kovtun.