Journée de la Faculté DSIT – Session “Données, Apprentissage et Applications”

Journée de la Faculté Data Sciences and Information Technologies

 Session “Données, Apprentissage et Applications”

Co-organisateurs :
Florence D’Alché-Buc et Arnak Dalalyan

 

 

15:30-15:40 Stephan Clémençon (S2A, LTCI)
“Machine Learning for Big/Extreme/structured Data”
15:40-15:50 Erwan Scornet (CMAP)
“Walk in random forests”
15:50-16:00 Nicolas Chopin (CREST)
“Bayesian computation at ENSAE”
16:00-16:10 Ioana Manolescu (LIX)
“Linking and Summarizing Heterogeneous Data”
16:10-16:20 Randal Douc (SAMOVAR)
“Inference in the partially observed Markov chains”
16:20-16:30 Discussion
16:30-16:40 Benoit Schmutz (CREST)
“How economic theory can help measure spatial barriers to labour mobility”
16:40-16:50 Elodie Vernet (CMAP)
“Non parametric Bayesian Statistics”
16:50-17:00 Thomas Bonald (DIG, LTCI)
Learning Graph Data Representations by Dendrograms
17:00-17:10 Robert Gower (S2A, LTCI)
Optimization for machine learning: Exploring Structure
17:10-17:30 Concluding remarks