Biography:Guillaume Carlier

Short description: French applied mathematician

Guillaume Carlier
Nationality	France
Alma mater	Paris Dauphine University
Scientific career
Fields	Applied mathematics
Institutions	Paris Dauphine University
Doctoral advisor	Ivar Ekeland

Guillaume Carlier is a French mathematician. Most of his work lies in the field of calculus of variation and optimization. He is a professor of applied mathematics at Paris Dauphine University and a researcher at Mokaplan, a joint INRIA-CNRS-Université Paris-Dauphine team dedicated to research in the field of optimal transport.

Life and work

Carlier's work mainly focuses on applied mathematics, in particular in the fields of calculus of variations, optimization, convex analysis, and transportation theory as well as their application to economics and traffic modelling.

He graduated in mathematics and mathematical economics from ENSAE ParisTech, Pierre and Marie Curie University, and Paris-Dauphine University in 1996. He then completed his PhD at Paris-Dauphine University in 2000, with a dissertation on the applications of calculus of variations to contract theory, under the supervision of Ivar Ekeland. After his studies, he was an assistant professor at the University of Bordeaux and then moved to Paris-Dauphine University, where he is now a professor. He is a member of Mokaplan, a joint research unit co-sponsored by Paris-Dauphine University, the National Centre for Scientific Research, and the French Institute for Research in Computer Science and Automation.

Selected publications

• Agueh, Martial; Carlier, Guillaume (2011). "Barycenters in the Wasserstein Space". SIAM Journal on Mathematical Analysis (Society for Industrial and Applied Mathematics) 43 (2): 904–924. doi:10.1137/100805741. https://doi.org/10.1137/100805741. 
• Benamou, Jean-David; Carlier, Guillaume (2015). "Augmented Lagrangian Methods for Transport Optimization, Mean Field Games and Degenerate Elliptic Equations". Journal of Optimization Theory and Applications (Springer) 167: 1–26. doi:10.1007/s10957-015-0725-9. https://link.springer.com/article/10.1007/s10957-015-0725-9. 
• Benamou, Jean-David; Carlier, Guillaume; Cuturi, Marco; Nenna, Luca; Peyré, Gabriel (2015). "Iterative Bregman Projections for Regularized Transportation Problems". SIAM Journal on Scientific Computing (Society for Industrial and Applied Mathematics) 37 (2): A1111–A1138. doi:10.1137/141000439. https://doi.org/10.1137/141000439. 
• Carlier, Guillaume (2001). "A general existence result for the principal-agent problem with adverse selection". Journal of Mathematical Economics (Elsevier) 35: 129–150. doi:10.1016/S0304-4068(00)00057-4. https://www.sciencedirect.com/science/article/abs/pii/S0304406800000574. 
• Carlier, Guillaume; Ekeland, Ivar (2010). "Matching for teams". Economic Theory (Springer) 42 (2): 397–418. doi:10.1007/s00199-008-0415-z. https://link.springer.com/article/10.1007%2Fs00199-008-0415-z. 
• Carlier, Guillaume; Duval, Vincent; Peyré, Gabriel; Schmitzer, Bernhard (2017). "Convergence of Entropic Schemes for Optimal Transport and Gradient Flows". SIAM Journal on Mathematical Analysis (Society for Industrial and Applied Mathematics) 49 (2): 1385–1418. doi:10.1137/15M1050264. https://epubs.siam.org/doi/10.1137/15M1050264?mobileUi=0. 
• Carlier, Guillaume; Galichon, Alfred; Santambrogio, Filippo (2010). "From Knothe's transport to Brenier's map and a continuation method for optimal transport". SIAM Journal on Mathematical Analysis (Society for Industrial and Applied Mathematics) 41 (6): 2554–2576. doi:10.1137/080740647. https://epubs.siam.org/doi/abs/10.1137/080740647?mobileUi=0. 
• Chaudhari, Pratik; Oberman, Adam; Osher, Stanley; Soatto, Stefano; Carlier, Stefano (2018). "Deep relaxation: partial differential equations for optimizing deep neural networks". Research in the Mathematical Sciences (Springer) 5 (3). doi:10.1007/s40687-018-0148-y. https://link.springer.com/article/10.1007/s40687-018-0148-y.