Advanced Topics in Machine Learning

UVa CS 8501 (Fall 2022)

Lecture Schedule

Week Dates Topic Readings Discussion Notes
1 Aug. 24 Introduction Guideline Link
2 Aug. 29, 31 Generative modeling Guideline Link
3 Sept. 5, 7 Bayesian statistics Guideline Link
4 Sept. 12, 14 Probabilistic graphical models Guideline Link
5 Sept. 19, 21 Probabilistic graphical models (II) Guideline Link
6 Sept. 26, 28 Information theory basics Guideline Link
7 Oct. 5 Variational inference Guideline Link
8 Oct. 10, 12 Variational inference (II) Guideline Link
9 Oct. 17, 19 Monte Carlo inference Guideline Link
10 Oct. 24, 26 Monte Carlo inference (II) Guideline Link
11 Oct. 31, Nov. 2 Variational autoencoders Guideline Link
12 Nov. 7, 9 Generative adversarial networks Guideline Link
13 Nov. 14, 16 Diffusion Models Guideline Link
14 Nov. 21 Beyond the IID assumption Guideline  
15 Nov. 28, 30 No class (NeurIPS 2022)    
16 Dec. 5 Beyond the IID assumption (II) Guideline  

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