Date | Lecturer | Topics | Corresponding chapters in class notes |
Scribe notes |
October, 9 Tocqueville |
Guillaume Obozinski | Introduction Maximum likelihood Models with one node |
5 Slides |
Huu Dien Khue Le, Robin Benesse lecture1.pdf lecture1.zip |
October, 11 Friday Tocqueville 1.30pm - 4.30pm |
Guillaume Obozinski | Linear regression Logistic regression Generative classification |
6, 7 |
Aymeric Reshef, Claire Vernade lecture2.pdf lecture2.zip |
October, 16 Curie |
Francis Bach | K-means EM Gaussian mixtures Graph theory |
10, 11 |
Marie d’Autume, Jean-Baptiste Alayrac lecture3.pdf lecture3.zip |
October, 23 Tocqueville |
Francis Bach | Directed graphical models undirected graphical models |
2 |
Vincent Bodin, Thomas Moreau lecture4.pdf lecture4.zip |
October, 30 Tocqueville |
Guillaume Obozinski | Exponential families Information theory Mixture of experts |
8, 10, 19 |
Thomas Belhalfaoui, Lénaïc Chizat lecture5.pdf lecture5.zip |
November, 6 Tocqueville |
Guillaume Obozinski | Gaussian variables Factorial analysis |
13, 14 |
|
November, 13 Tocqueville |
Guillaume Obozinski | Sum-produc algorithm HMM |
4, 12 |
|
November, 20 Tocqueville |
Francis Bach | Inexact inference | 21 |
|
November, 27 Tocqueville |
Francis Bach | Bayesian methods |
Mid-november | Choose a
project (one or two students
per projects) |
Before 29/11 | Send an email to instructors detailing the choice of project. |
Before 04/12 | Send a draft (1 page) + first results. |
Before 18/12 | Submit
your exam (secretariat or
email). |
18/12 | Poster session in Batiment Cournot (C102-103) - 9am to 12pm |
Before 10/01 | Submit your project report (~6 pages) |
This course provides a unifying introduction to probabilistic modelling through the framework of graphical models, together with their associated learning and inference algorithms.
References
- Class
notes
The course
will be based on the book in preparation of
Michael Jordan (UC Berkeley) and on research articles. The
course notes ("polycopie") may be obtained from the Mastere's
adminstrative assistant.