Journée de la Faculté DSIT – Session “Données, Apprentissage et Applications”
Dans le cadre de la Journée de la Faculté DSIT sur le Campus de l'École Polytechnique.
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