Schedule

(The schedule is updated as the semester unfolds.)

Lecture Date Topics Additional Refs Notes Lecture Slides
1 01/26/2021 Introduction Slides, Annotated
2 01/28/2021 Conditional Independence - Directed Graphs Slides, Annotated
3 02/02/2021 Conditional Independence - Undirected Graphs Slides, Annotated
4 02/04/2021 Inference Using Variable Elimination Slides, Annotated
5 02/09/2021 Inference Using Using The Sum-Product Algorithm Slides, Annotated
6 02/11/2021 Junction Tree Algorithms Slides, Annotated
7 02/16/2021 MAP Inference; Max-product Slides, Annotated
8 02/18/2021 Discrete Latent Variable Models Slides, Annotated
9 02/23/2021 Continious Latent Variable Models Slides, Annotated
10 02/25/2021 Dynamic Latent Variable Models Slides, Annotate
10a 03/02/2021 Expectation-Maximization Slides, Annotate
10b 03/04/2021 Dynamic Latent Variable Models (contd) Slides, Annotate
11 03/09/2021 Approximate Inference 1 Slides, Annotate
Inv 1 03/11/2021 Invited Lecture (Stephan Mandt; Compressing Variational Bayes) Slides, Annotate
12a 03/16/2021 Learning (Undirected) Graphical Models 1 Slides, Annotated
12b 03/18/2021 Learning Graphical Models 2 Slides, Annotate
Inv 2 04/01/2021 Invited Lecture (Marcel Nassar) Slides, Annotate
Inv 3 04/06/2021 Invited Lecture (Shalmali Joshi) Slides, Annotate
Inv 4 04/08/2021 Invited Lecture (Wes Tansey) Slides, Annotate
12c 04/15/2021 Learning Graphical Models 3 Slides, Annotate
13 04/20/2021 Causal Inference 1 Slides, Annotate