CEREMADE - UMR 7534

Nos dernières publications

Tropp 8/9 - Random matrix theory and computational linear algebra
Cours/Séminaire
01:24:40

Tropp 8/9 - Random matrix theory and computational linear algebra

Tropp
Joel Aaron

This course treats some contemporary algorithms from computational linear algebra that involve random matrices. Rather than surveying the entire field, we focus on a few algorithms that are both

Tropp 9/9 - Random matrix theory and computational linear algebra
Cours/Séminaire
00:40:59

Tropp 9/9 - Random matrix theory and computational linear algebra

Tropp
Joel Aaron

This course treats some contemporary algorithms from computational linear algebra that involve random matrices. Rather than surveying the entire field, we focus on a few algorithms that are both

Bubeck 8/9 - Some geometric aspects of randomized online decision making
Cours/Séminaire
00:49:23

Bubeck 8/9 - Some geometric aspects of randomized online decision making

Bubeck
Sébastien

This course is concerned with some of the canonical non-stochastic models of online decision making. These models have their origin in works from the 1950's and 1960's, and went through a resurgence

Cours/Séminaire

Tropp 7/9 - Random matrix theory and computational linear algebra

Tropp
Joel Aaron

This course treats some contemporary algorithms from computational linear algebra that involve random matrices. Rather than surveying the entire field, we focus on a few algorithms that are both

Bubeck 9/9 - Some geometric aspects of randomized online decision making
Cours/Séminaire
00:57:02

Bubeck 9/9 - Some geometric aspects of randomized online decision making

Bubeck
Sébastien

This course is concerned with some of the canonical non-stochastic models of online decision making. These models have their origin in works from the 1950's and 1960's, and went through a resurgence

Tropp 6/9 - Random matrix theory and computational linear algebra
Cours/Séminaire
00:56:11

Tropp 6/9 - Random matrix theory and computational linear algebra

Tropp
Joel Aaron

This course treats some contemporary algorithms from computational linear algebra that involve random matrices. Rather than surveying the entire field, we focus on a few algorithms that are both

Zdeborová - Loss landscape and behaviour of algorithms in the spiked matrix-tensor model
Conférence
00:49:52

Zdeborová - Loss landscape and behaviour of algorithms in the spiked matrix-tensor model

Zdeborová
Lenka

A key question of current interest is: How are properties of optimization and sampling algorithms influenced by the properties of the loss function in noisy high-dimensional non-convex settings?

Bubeck 6/9 - Some geometric aspects of randomized online decision making
Cours/Séminaire
00:48:03

Bubeck 6/9 - Some geometric aspects of randomized online decision making

Bubeck
Sébastien

This course is concerned with some of the canonical non-stochastic models of online decision making. These models have their origin in works from the 1950's and 1960's, and went through a resurgence

Tropp 5/9 - Random matrix theory and computational linear algebra
Cours/Séminaire
01:01:43

Tropp 5/9 - Random matrix theory and computational linear algebra

Tropp
Joel Aaron

This course treats some contemporary algorithms from computational linear algebra that involve random matrices. Rather than surveying the entire field, we focus on a few algorithms that are both

Bubeck 7/9 - Some geometric aspects of randomized online decision making
Cours/Séminaire
00:56:21

Bubeck 7/9 - Some geometric aspects of randomized online decision making

Bubeck
Sébastien

This course is concerned with some of the canonical non-stochastic models of online decision making. These models have their origin in works from the 1950's and 1960's, and went through a resurgence

Bubeck 5/9 - Some geometric aspects of randomized online decision making
Cours/Séminaire
01:03:03

Bubeck 5/9 - Some geometric aspects of randomized online decision making

Bubeck
Sébastien

This course is concerned with some of the canonical non-stochastic models of online decision making. These models have their origin in works from the 1950's and 1960's, and went through a resurgence

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Intervenants et intervenantes

France

Maître de conférences à l'Université Paris X, Nanterre, FR (2016). Professeure associée au département Systèmes d’Information, Sciences de la Décision et Statistiques de l'ESSEC Business School (2023).

France

Informaticien. Directeur de recherche INRIA, membre de l'équipe de recherche Dynamics of geometric networks (DYOGENE), Département d'informatique (DI-ENS, UMR 8548), École normale supérieure, Paris. Directeur du Microsoft research-INRIA joint centre, Paris. Professeur titulaire d'une chaire, Paris AI research institute. Professeur, Centre de mathématiques appliquées (CMAP, UMR 7641), École polytechnique, Palaiseau, Essonne (en 2023)

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