Français Anglais
Accueil Annuaire Plan du site
Home > Research results > Dissertations & habilitations
Research results
Ph.D de

Ph.D
Group : Learning and Optimization

Around the Use of Gradients in Machine Learning

Starts on 01/09/2014
Advisor : OLLIVIER, Yann

Funding :
Affiliation : Université Paris-Sud
Laboratory : LRI - AO

Defended on 14/12/2017, committee :
Directeur de thèse :
- Yann Ollivier, chercheur à Facebook

Rapporteurs :
- Sébastien Bubeck, chercheur à Microsoft
- Emmanuel Trélat, professeur à l'UPMC

Examinateur :
- Éric Moulines, professeur à l'École Polytechnique

Research activities :

Abstract :
The main result is a local convergence theorem for the classical dynamical system online optimisation algorithm called RTRL, in a non linear setting. The RTRL works on line, but must maintain in memory a huge amount of information, which makes it unfit to train even moderately large learning models. The NBT algorithm turns it by replacing these informations by a non biased, low dimension, random approximation. We also prove the convergence, with probability arbitrarily close to one, of this algorithm to the local optimum reached by the RTRL algorithm.

Ph.D. dissertations & Faculty habilitations
DECODING THE PLATFORM SOCIETY: ORGANIZATIONS, MARKETS AND NETWORKS IN THE DIGITAL ECONOMY
The original manuscript conceptualizes the recent rise of digital platforms along three main dimensions: their nature of coordination devices fueled by data, the ensuing transformations of labor, and the accompanying promises of societal innovation. The overall ambition is to unpack the coordination role of the platform and where it stands in the horizon of the classical firm – market duality. It is also to precisely understand how it uses data to do so, where it drives labor, and how it accommodates socially innovative projects. I extend this analysis to show continuity between today’s society dominated by platforms and the “organizational society”, claiming that platforms are organized structures that distribute resources, produce asymmetries of wealth and power, and push social innovation to the periphery of the system. I discuss the policy implications of these tendencies and propose avenues for follow-up research.

DISTRIBUTED COMPUTING WITH LIMITED RESOURCES


VALORISATION DES DONNéES POUR LA RECHERCHE D'EMPLO