Lect. | Lecturer | Topic | Pdf | 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 | | |