courses:xep33sml:materials:lectures [CourseWare Wiki]

Lect.	Lecturer	Topic	Additional reading
01	VF	Structured Output Linear Classifier and Perceptron
02	VF	Learning max-sum classifier by Perceptron
03	VF	Structured Output Support Vector Machines
04	VF	Cutting Plane Algorithm
05	VF	Learning Max-Sum classifier by SO-SVM
06	VF	Statistical guarantees for empirical risk minimization based SO learning
07	BF	Recap: Markov models and HMMs on chains
08	BF	Belief Networks & Probabilistic Neural Networks	A.Shekhovtsov, ICLR 2019
09	BF	Stochastic gradient estimators for PNNs
10	BF	Variational Autoencoders
11	BF	Hierarchical Variational Autoencoders