Lecture Calendar
- The schedule below is tentative, and some topics may change.
- Unless specified otherwise, readings below refer to sections in Barber's Bayesian Reasoning and Machine Learning Links to an external site.
- During the regular lecture times (Tuesdays and Thursdays at 12:30pm), Prof. Sudderth will present the posted slides in ICS 174.
- Video recordings of course meetings will be posted (after some delay) to the CS275P YuJa channel Links to an external site.
|
Number |
Date |
Topics |
Readings |
Materials |
|
1A |
4/02/2024 |
Introduction to Statistical Learning, Graphical Models |
1, 2, 3.1-3.3 |
Slides: Overview Download Overview |
|
1B |
4/04/2024 |
Generative Models for Classification, Decision Theory |
10.1-10.2, 8.7, 13 |
Slides: Decisions Download Decisions (1-40) |
|
2A |
4/09/2024 |
Linear Regression, Least Squares |
8.4, 8.8, 17.1-17.2 |
Slides: Decisions Download Decisions (38-51), Estimation Download Estimation |
|
2B |
4/11/2024 |
Bayesian Linear Regression, Regularization |
18.1 |
Slides: Regression Download Regression (1-58) |
|
3A |
4/16/2024 |
Linear Classification, Bayesian Logistic Regression |
17.4, 18.2 |
Slides: Regression Download Regression (59-71), Logistic Download Logistic (1-37) |
|
3B |
4/18/2024 |
Kernels, Gaussian Processes |
17.3, 19.3 |
Slides: Logistic Download Logistic (38-45), Kernels Download Kernels (1-30) |
|
4A |
4/23/2024 |
Gaussian Processes, Support Vector Machines |
19.1-19.2, 19.5, 17.5 |
Slides: Kernels Download Kernels (31-56) |
|
4B |
4/25/2024 |
Bayesian Optimization, Stochastic Optimization |
BO Tutorial Links to an external site., Kernels and Neural Networks Links to an external site. |
Slides: Stochastic Download Stochastic, BO Download BO |
|
5A |
4/30/2024 |
Clustering, Mixture Models |
20.1-20.3 |
Slides: BO Download BO, Mixtures Download Mixtures (1-37) |
|
5B |
5/02/2024 |
Expectation Maximization (EM) Algorithm |
11.1-11.2 |
Slides: Mixtures Download Mixtures (38-82) |
|
6A |
5/07/2024 |
Hidden Markov Models: Viterbi Algorithm |
23.1-23.2 |
Slides: Mixtures Download Mixtures (83-94), HMMs Download HMMs (1-28) |
|
6B |
5/09/2024 |
Hidden Markov Models: Forward-Backward, EM |
23.3, 23.5 |
Slides: HMMs Download HMMs (29-70) |
|
7A |
5/14/2024 |
Dimensionality Reduction, PCA |
15.1-15.3 |
Slides: PCA Download PCA (1-22) |
|
7B |
5/16/2024 |
Factor Analysis, EM Algorithm, State Space Models |
21.1-21.4, 24.1-24.4 |
Slides: PCA Download PCA (23-64) |
|
8A |
5/21/2024 |
Variational Inference, Topic Models |
Slides: Variational Download Variational |
|
|
8B |
5/23/2024 |
Topic Models, Stochastic Variational Inference |
Topic Tutorial Links to an external site. |
Slides: Variational Download Variational |
|
9A |
5/28/2024 |
Deep Generative Models, Variational Autoencoders |
Slides: Variational Download Variational |
|
|
9B |
5/30/2024 |
Sequential Deep Generative Models |
Dynamical VAEs Links to an external site. |
Slides: Variational Download Variational |
|
10A |
6/04/2024 |
Belief Propagation, (Dynamic) Bayesian Networks |
4.1, 4.4, 5.1, 23.4 |
Slides: BP Download BP, DBN Download DBN |
|
10B |
6/06/2024 |
Diffusion Generative Models |
Denoising Diffusion Models Links to an external site., Latent Diffusion Models Links to an external site. | |
|
- |
6/13/2024 |
Final Project Reports Due |
|
|