Teaching<- back to the main page of Dr. Bogdan Savchynskyy Research Seminar

Seminar on Convex and Combinatorial Optimization

coordinated by myself, is active also during the lecture-free time.

Teaching

WS 2021/22 : Lecture Optimization for Machine Learning
WS 2021/22: Seminar Newral Networks meet Combinatorial Optimization

SoSe 2021: Seminar Combinatorial Optimization in Machine Learning and Computer Vision

WS 2020/21 : Lecture Optimization for Machine Learning
WS 2020/21: Seminar Combinatorial Optimization in Machine Learning and Computer Vision

SS 2020: Seminar Combinatorial Optimization in Machine Learning and Computer Vision

WS 2019/20 : Lecture Optimization for Machine Learning
WS 2019/20: Seminar Combinatorial Optimization in Machine Learning and Computer Vision
Sep. 23-27, 2019, NTUU "KPI" Kyiv, Ukraine: Compact-course on Discrete Energy Minimization
SS 2019 : Lecture Algorithmen und Datenstrukturen (in German)
SS 2019: Seminar Combinatorial Optimization in Machine Learning and Computer Vision
WS 2018/19: Lecture course Optimization for Machine Learning.
WS 2018/19: Seminar Combinatorial Optimization in Machine Learning and Computer Vision

SS 2018: Lecture course Optimization for Machine Learning.
SS 2018: Seminar Optimization for Machine Learning

TU Dresden:
SS 2016: Optimization for Machine Learning.
SS 2015: Machine Learning II.


Heidelberg University WS 2011:
Variational Image Analysis and Pattern Recognition, together with 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.