Pattern Recognition and Machine Learning Reading Group
The reading group will meet weekly, usually on Friday at 13:00 in room 26-00/428 (see the planning below for exceptions).
The book is available online, furthermore physical copies may be borrowed from the Pierre et Marie Curie MIR library (15-26/SB), its shelf number is 3.64 BIS.
This reading group is open to all, however you must send me an email if you wish to attend since access to room 26-00/428 is restricted.
Ressources
- Official book website includes slides for chapters 1, 2, 3, and 8, all figures in vector format, solutions to the exercises marked www, and errata.
- INRIA Reading Group contains slides for most chapters.
- Mo Chen github has MATLAB implementations of algorithms described in the book.
- CTGK github has some python implementations of algorithms described in the book.
Sessions
Chapter 1: Introduction
- Reader:
- Étienne Simon, and Jean-Yves Franceschi
- Date:
- Location:
- 26-00/428
- Slides:
- Christopher, INRIA
3
5
14
Chapter 2: Probability distributions
- Reader:
- Ibrahim Ayed, and Clément Rebuffel
- Date:
- Location:
- 26-00/428
- Slides:
- Christopher, INRIA
Chapter 3: Linear Models for Regression
- Reader:
- Marie Dechelle, and Yuan Yin
- Date:
- Location:
- 26-00/428
- Slides:
- Christopher, INRIA
2
3
7
9
11
Chapter 4: Linear Models for Classification
- Reader:
- Adrien Pouyet, and Étienne Simon
- Date:
- Location:
- 26-00/428
Chapter 5: Neural Networks
- Reader:
- Robin Dupont, and Tom Veniat
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 6: Kernel Methods
- Reader:
- Valentin Guiguet, and Adrien Pouyet
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 7: Sparse Kernel Machines
- Reader:
- Perrine Cribier-Delande, and Clément Rebuffel
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 8: Graphical Models
- Reader:
- Étienne Simon, and Ryan Lahfa
- Date:
- Location:
- 26-00/428
- Slides:
- Christopher, INRIA
Chapter 9: Mixture Models and EM
- Reader:
- Adrien Pouyet, and Robin Dupont
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 10: Approximate Inference
- Reader:
- Ryan Lahfa, and Étienne Simon
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 11: Sampling Methods
- Reader:
- Étienne Simon, and Robin Dupont
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 12: Continuous Latent Variables
- Reader:
- Yuan Yin, and Ryan Lahfa
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA
Chapter 13: Sequential Data
- Reader:
- Étienne Simon
- Date:
- Location:
- 26-00/428
- Slides:
- INRIA1 INRIA2
Chapter 14: Combining Models
- Reader:
- Étienne Simon
- Date:
- Location:
- 26-00/428