Nicolas Chopin will give a presentation on March 15 at the third edition of the conference of the Bayesian Computation Section of the International Society for Bayesian Analysis
“A dollar for your face: Meet the people behind Machine Learning models”
Paola Tubaro is interviewed about the “Marketplace for Personal Data” in Algorithm Watch on February 23rd, 2023
ENSAI_ PhD Day 2023 : Focus sur les doctorants
Le 2 février, les doctorants de l’ENSAI ont présenté leurs travaux à leurs pairs ainsi qu’aux enseignants-chercheurs et au personnel. Leurs thèses, dans le domaine des mathématiques et de leurs interactions avec la data science, le plus souvent motivées par une problématique concrète, portent sur une grande variété de sujets
Portrait: Ikko Yamane, from Tokyo to Rennes
Ikko Yamane joined ENSAI as an Assistant Professor in Computer Science last fall. The University of Tokyo PhD graduate teaches various courses while carrying his research in Machine Learning
“When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage”
Paper co-written by Anna Simoni and Laurent Ferrara in the Journal of Business & Economic Statistics
Hi! PARIS present the project of Arnak Dalalyan, Hi! PARIS Fellow 2021
“Toward a better understanding of AI algorithms”. Arnak Dalalyan, professor at ENSAE Paris and director of the CREST, revolves around statistical methods for machine learning. He is going to further develop those methods in his project with Hi! PARIS entitled “Statistical Analysis of Generative Models: Sampling Guarantees and Robustness (SAGMOS)”.
‘On Future Trends and Opportunities for Monte Carlo methods’ congress in Warsaw
Nicolas Chopin will participate to the congress ‘On Future Trends and Opportunities for Monte Carlo methods’ which will take place from 07.12.2022 to 09.12.2022 in Warsaw
“Researchers are using Google to forecast economic activity”
An interview with Anna Simoni in Polytechnique Insights – Oct. 18th, 2022
