Michèle Sebag
From Wikipedia, the free encyclopedia
Martine-Michèle Sebag is a French computer scientist, primarily focused on machine learning. She has over 6,000 citations.[1]
Sebag studied mathematics at the Ecole Normale Supérieure, and later worked in the computer science industry, starting at Thomson Corporation,[2] where she was introduced to artificial intelligence. She then moved into the research field, at the Laboratoire de Mécanique des Solides at Ecole Polytechnique.
She was awarded a PhD from the University of Paris-Sud, Paris Dauphine University and Ecole Polytechnique. Sebag started work at the Centre national de la recherche scientifique (CNRS) as a research fellow in 1991.
Sebag is deputy director of the Laboratoire de Recherche en Informatique at the CNRS; Head of group A-O at the latter; co-head of Projet TAO at INRIA Saclay; and principal scientist at the CNRS.[3]
She was named chevalier of the Légion d'honneur in 2019.[4]
Selected research
- Gelly, Sylvain, et al. "The grand challenge of computer Go: Monte Carlo tree search and extensions." Communications of the ACM 55.3 (2012): 106–113.
- Bordes, Antoine, Léon Bottou, and Patrick Gallinari. "SGD-QN: Careful quasi-Newton stochastic gradient descent." Journal of Machine Learning Research 10.Jul (2009): 1737–1754.
- Termier, Alexandre, M-C. Rousset, and Michèle Sebag. "Treefinder: a first step towards xml data mining." 2002 IEEE International Conference on Data Mining, 2002. Proceedings.. IEEE, 2002.
- Sebag, Michèle, and Antoine Ducoulombier. "Extending population-based incremental learning to continuous search spaces." International Conference on Parallel Problem Solving from Nature. Springer, Berlin, Heidelberg, 1998.
