Program

Monday, June 18, 2018

Time Event  
11:00 - 13:00 Welcome reception - Welcoming participants
 
13:00 - 14:00 Lunch  
14:00 - 15:30 Optimization for ML (I) - Pr. Stéphane Canu
 
15:30 - 16:00 Coffee break  
16:00 - 17:30 Mixed Integer Optimization for unsupervised learning. Applications to clustering and Image segmentation (II) - Pr. Stéphane Canu
 
17:45 - 20:00 Visit of Caen - Guided visit to the city of Caen, le château, Abbayes  
20:30 - 22:00 Dinner (at La Planche'a 13 Rue Prairies Saint-Gilles, 14000 Caen)  

Tuesday, June 19, 2018

Time Event  
08:30 - 10:00 Probabilistic modeling for machine learning (I) - Pr. Peter Tino
 
10:00 - 10:30 Coffee break  
10:30 - 12:00 Probabilistic modeling for machine learning (II) - Pr. Peter Tino
 
12:15 - 13:30 Lunch  
13:30 - 15:00 Model-based clustering and co-clustering in high-dimensional scenarios (I) - Pr. Christophe Biernacki
 
15:00 - 15:25 Oral presentation - Faïcel Chamroukhi  
15:00 - 15:20 › Variable selection and estimation in the functional multivariate linear regression model - Angelina Roche, CEntre de REcherches en MAthématiques de la DEcision  
15:25 - 15:45 Coffee break  
15:45 - 20:00 WW2 landing beaches - Guided visit to WW2 Normandy landing beaches  
20:45 - 22:15 Dinner (at Le Carlotta, 16 Quai Vendeuvre, 14000 Caen)  

Wednesday, June 20, 2018

Time Event  
08:30 - 10:00 Model selection theory and considerations in large-scale scenarios (II) - Pr. Christophe Biernacki
 
10:00 - 10:30 Coffee break  
10:30 - 12:00 Mixture models and feature selection in high-dimensional problems (I) - Pr. Abbas Khalili
 
12:15 - 13:30 Lunch  
13:30 - 20:00 Le Mont Saint Michel - Guided Visit to Le Mont Saint Michel  
21:00 - 22:30 Dinner (at Le Dauphin, 29, Rue Gemare, 14000 Caen)  

Thursday, June 21, 2018

Time Event  
08:30 - 10:00 Feature selection in high-dimensional problems (II) - Pr. Abbas Khalili
 
10:00 - 10:30 Coffee break  
10:30 - 12:00 Theory of statistical Inference (I) - Pr. Hien D. Nguyen
 
12:15 - 13:30 Lunch  
13:30 - 15:00 Majorization–Minimization (MM) Algorithms for Statistical Inference and Machine Learning Problems (II) - Pr. Hien D. Nguyen
 
15:00 - 15:30 Coffee break  
15:30 - 17:55 Oral presentation - Faïcel Chamroukhi  
15:30 - 15:50 › Bivariate negative binomial mixture model for RNA-Seq data analysis - Antoine CHANNAROND, Laboratoire de Mathématiques Raphaël Salem  
15:55 - 16:15 › A Necessary and Sufficient Condition to minimize predictive inference risk for perturbation methods - Cédric Wanko, Traitement et Recherche sur l'Information et la Statistique, Université de Montpellier  
16:20 - 16:40 › A stochastic simulation experiment for outlier mixture component detection in one and two-layer Self Organizing Maps (SOM). - Gabriel Valverde, Universidad Complutense de Madrid and Bankinter  
16:45 - 17:05 › Classifying degenerate Higgses using a deep neural network - Inga Strümke, University of Bergen  
17:10 - 17:30 › Survey on Time Series Dimensionality Reduction for Data Mining - Clément Lejeune, Institut de recherche en informatique de Toulouse - Oihana Coustié, Université Toulouse Capitole  
17:35 - 17:55 › Regularised Maximum Likelihood Estimation of Mixtures-of-Experts - Bao-Tuyen HUYNH, Université de Caen Normandie  
18:00 - 19:20 Posters session - Faïcel Chamroukhi  
18:00 - 19:20 › APPLICATION OF SELF ORGANIZING MAPS TO ROAD ACCIDENT PATTERN IDENTIFICATION IN QUASI-INDUCED EXPOSURE METHODS - Almudena Sanjurjo de No, INSIA-Universidad Politécnica de Madrid  
18:00 - 19:20 › Data-Mining for analysis of semi-structured messages from application execution - Oihana Coustié, Université Toulouse Capitole  
18:00 - 19:20 › Machine Learning for Anomalies Detection in Large Time Series - Clément Lejeune, Institut de recherche en informatique de Toulouse  
18:00 - 19:20 › Regularised Maximum Likelihood Estimation of Mixtures of Experts  
20:30 - 22:00 Dinner (at Le Carlotta, 16 Quai Vendeuvre, 14000 Caen)  

Friday, June 22, 2018

Time Event  
08:30 - 10:00 Unsupervised learning from high-dimensional and functional data - Pr. Faïcel Chamroukhi
 
10:00 - 10:30 Coffee break  
10:30 - 12:00 Mixture of experts for regression, clustering and classification in high-dimensional scenarios - Pr. Faicel Chamroukhi
 
12:15 - 13:30 Lunch  
13:30 - 14:30 Conference closure - Conference closure
 
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