Groupe de lecture LIPN formalismes 2023-2025: Champs aléatoires de Markov (MRFs)

Table of Contents

leroux-at-lipn.fr
leroux-at-lipn.fr

Cette année le groupe de lecture sur les formalismes du TAL a fusionné avec le groupe opt/ml.

Organisation

Lien Mattermost LIPN
https://mattermost.lipn.univ-paris13.fr/lipn/channels/groupe-de-lecture-mrf
Jour, horaire, Lieu
cf. calendrier
Lien visio
https://bbb.lipn.univ-paris13.fr/b/ler-ale-fyl-cbz (vérifier si session en hybride sur mattermost)

2025-2026

Programme

Lecture de l'article Learning with Fenchel-Young Losses, (Blondel, Martins, and Niculae 2020)

Date Article/Thème Lecture animée par Notes
10/11/25 Learning with Fenchel-Young Losses 2/n Nadi Tomeh B107
06/11/25 Learning with Fenchel-Young Losses 1/n Joseph Le Roux A303

Archives

Programme

Lecture du livre Graphical Models, Exponential Families, and Variational Inference, (Wainwright and Jordan 2008)

Date Chapitre/Section Lecture animée par Notes
17/12/24 7: Convex Relaxations and Upper Bounds (7.2 fin) Nadi Tomeh en A303
03/12/24 7: Convex Relaxations and Upper Bounds (7.2) Nadi Tomeh en D215
19/11/24 7: Convex Relaxations and Upper Bounds (7.1) Joseph Le Roux  
07/11/24 6: Variational Methods in Parameter Estimation (suite) Nadi Tomeh  
08/10/24 6: Variational Methods in Parameter Estimation (suite) Nadi Tomeh  
01/10/24 6: Variational Methods in Parameter Estimation Nadi Tomeh  
09/04/24 Structured MFVI for semantic parsing Joseph Le Roux https://aclanthology.org/2023.findings-acl.58/
02/04 5.5 fin Nadi Tomeh  
26/03/24 5.5 suite Nadi Tomeh  
20/02/24 Structured Mean Field 5.5 Nadi Tomeh  
02/02/24 5.4 suite Nadi Tomeh  
30/01/24 5.4 Nadi Tomeh à 10h15
16/01/24 5.2 5.3 Nadi Tomeh  
09/01/24 5.2 5.3 Nadi Tomeh  
23/11/23 Mean Field 5.1 5.2 Alexandre Schulz  
19/10/23 14h 4.1 Joseph Le Roux  
02/10/23 4 Francesco Demelas  
19/09/23 4 Sum-Product, Bethe–Kikuchi, and Expectation-Propagation Francesco Demelas  
15/06/23 3.6, 3.7 Alexandre Schulz  
18/04/23 fin 3.4, 3.5 Joseph Le Roux lien
13/04/23 3.4 Joseph Le Roux lien
22/03/23 Graphical Models as Exponential Families 3.1 →3.4 Urchade Zaratiana lien
13/03/23 Sections 2.5,2.6 Nadi Tomeh lien
21/02/23 Chapitre 1 et Chapitre 2 Nadi Tomeh lien

Références

Blondel, Mathieu, Martins André F.T., and Vlad Niculae. 2020. “Learning with Fenchel-Young Losses.” Journal of Machine Learning Research 21 (35): 1–69. http://jmlr.org/papers/v21/19-021.html.
Wainwright, Martin J, and Michael I Jordan. 2008. “Graphical Models, Exponential Families, and Variational Inference.” Foundations and Trends in Machine Learning 1 (1--2): 1–305.

Emacs 30.2 (Org mode 9.7.11)