Bubeck, Sébastien (1985-....)
Professeur adjoint à l'université de Princeton, département de la recherche opérationnelle et de l'ingénierie financière
Senior Researcher, Machine Learning and Optimization, Microsoft Research, Redmond, USA.
- Algorithmes
- Mathématiques
- Probabilités et mathématiques appliquées
- Prise de décision et gestion de l'information
- gradient descent
- mirror descent
- online learning
- bandit optimization
- decision making
- Probabilités et mathématiques appliquées
- Prise de décision et gestion de l'information
- gradient descent
- mirror descent
- online learning
- bandit optimization
Vidéos
Bubeck 8/9 - Some geometric aspects of randomized online decision making
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 9/9 - Some geometric aspects of randomized online decision making
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 7/9 - Some geometric aspects of randomized online decision making
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
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 6/9 - Some geometric aspects of randomized online decision making
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 3/9 - Some geometric aspects of randomized online decision making
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 4/9 - Some geometric aspects of randomized online decision making
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 2/9 - Some geometric aspects of randomized online decision making
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 1/9 - Some geometric aspects of randomized online decision making
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