Jean-Philippe Peyrache

Doctor since july 2014: Nouvelles Approches Itératives avec Garanties Théoriques pour l'Adaptation de Domaine non Supervisée


Laboratoire Hubert Curien, UMR CNRS 5516
Machine Learning Research Team
Université Jean Monnet
  18 rue du Professeur Benoît Lauras – Bâtiment E.
  42000 Saint-Étienne, France
E-Mail: jean[dot]philippe[dot]peyrache[at]univ-st-etienne[dot]fr
Phone: (+33) (0)4 69 66 32 58


Short Presentation

I was born in Saint-Etienne in 1987. At the end of my studies, I obtained a Master's degree "Web Intelligence" in Computer Science at the University of Saint-Étienne in June 2010. I defended my PhD, entitled Nouvelles Approches Itératives avec Garanties Théoriques pour l'Adaptation de Domaine non Supervisée on the 11th of july 2014.
My supervisors were Marc Sebban and Amaury Habrard, and I was a member of the Machine Learning team of Hubert Curien Lab. I also was a member of the PASCAL2 Network.

Research Activities

Brief Introduction

My main research topic is Domain Adaptation from Structured Data, applied on Classification and Regression problems. Domain Adaptation is a subtopic of Machine Learning, consisting in adapting a single learned model on different domains.

Projects

I have been involved in ANR LAMPADA (Learning Algorithms, Models an sPArse representations for structured DAta), a research project between Hubert Curien Lab in Saint-Etienne, INRIA in Lille, LIF in Marseille and LIP6 in Paris. LAMPADA mainly focused on high dimensional learning problems with large sets or dynamics of structured data.

Publications

PhD Thesis
International Journals
International Conferences
National Conferences

Summer School attendance


Teaching

During my Ph.D thesis and my A.T.E.R. contracts, I have given some courses at the Faculty of Sciences and Techniques in the Computer Science Department and in the Entreprises Administration Institute of the University of Saint-Étienne. For now, I have teached: