Seminar 05/11@C47 : Jean-Bernard Salomond / Moussab Djerrab

Thursday November 5, 2015, room C47

14h – 15h : Jean-Bernard Salomond (CEREMADE, Univ. Dauphine)

Titre : Sharp conditions for posterior contraction in the Sparse normal means problem Abstract: The first Bayesian results for the sparse normal means problem were proven for spike-and-slab priors. However, these priors […]

Seminar 29/10@C48 : Albert Thomas / François Portier

Jeudi 29 Octobre 2015, salle C48

14h – 15h : Albert Thomas (doctorant, LTCI, Telecom ParisTech)

Titre : Calibration of One-Class SVM for Minimum Volume set estimation” Abstract: A general approach for anomaly detection or novelty detection consists in estimating high density regions or Minimum Volume (MV) sets. The […]

(Post)-doc seminars of Group STA on wednesday, January 16 2013

Sylvain Robiano and Charanpal Dhanjal will give two seminars on on wednesday, January 16 2013 in room DB312 between 10 AM and noon. Titles and abstracts follow.

First talk:

Title: Ranking Ordinal Data: Optimality and Pairwise Aggregation

Abstract: In this talk, we describe key insights in order to grasp the nature of K-partite ranking. From […]

Seminar by Joseph Salmon on Thursday, Octobre 18

Joseph Salmon (Duke University) will give a talk on Thursday, Octobre 18 at 1:30 P.M. in room DB312 (Dareau buiding). Titre: Optimal aggregation of affine estimators

Abstract: We consider the problem of combining a (possibly uncountably infinite) set of affine estimators in non-parametric regression model with heteroscedastic Gaussian noise. Focusing on the exponentially weighted aggregate, […]

Seminar by Mohammed Nabil EL Korso on Thursday, Octobre 18

Mohammed Nabil EL Korso (ENS Cachan) will give a talk on Thursday, Octobre 18 at 1:30 P.M. in room DB312 (Dareau buiding).

Title: A GLRT based framework for the resolvability of two targets in a MIMO context

Abstract: During the last decade, multiple-input multiple-ouput systems have received an increasing interest. One can find several estimation […]

Seminar by Andreas Argyriou on Thursday, Octobre 18

Andreas Argyriou (Katholieke Universiteit Leuven) will give a talk on Thursday, Octobre 18 at 11 in room DB312 ( Dareau building).

Title: Sparse Prediction, Matrix Completion and First-Order Optimization

Abstract: I will derive a novel regularization method that corresponds to the tightest convex relaxation of sparsity combined with an L2 penalty. I will show that […]

Seminar by Marco Cuturi, Tuesday September 18, 2 P.M., room DA006

Marco Cuturi will give a seminar on Tuesday September 18 at 2 p.m., in room DA006.

Transportation and Machine Learning

Transportation distances were first popularized in machine learning and computer vision in the late 90′s under the name of earth mover’s distances. In most applications, transportation distances have been shown – when suitably parameterized – […]

Seminar by Samir M. Perlaza, Wednesday Sept. 12, 2012

Samir M. Perlaza (Princeton Univ.) will give a seminar on Wednesday Sept. 12, 2012 in Room DA108

Title: :

Machine Learning: The bridge connecting Information, Game and Learning Theory.


In this presentation, strong connections between learning theory, game theory and information theory are highlighted in the context of multi-agent learning. First, we explore the […]

The STA team is recruiting an assistant professor in statistical learning

An assistant professor in statistical learning will be recruited within the year 2012. Check out the official announcement (a link will be soon available here). The deadline for applying should be around September 15 2012. A description of the position is available on the TSI department open positions page .

Seminar Wednesday, May 16 at 2 p.m., in room DA006

Brian King (Univ. of Washington) will give a talk on Wednesday, May 16 at 2 p.m., in room DA006. Title: “Introduction to Complex Probabilistic Latent Component Analysis”

Abstract: Nonnegative matrix factorization (NMF) and probabilistic latent component analysis (PLCA) have recently gained the spotlight as being some of the most promising methods in such audio applications […]