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Institution

Paris Dauphine University

EducationParis, France
About: Paris Dauphine University is a education organization based out in Paris, France. It is known for research contribution in the topics: Context (language use) & Population. The organization has 1766 authors who have published 6909 publications receiving 162747 citations. The organization is also known as: Paris Dauphine & Dauphine.


Papers
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Journal ArticleDOI
TL;DR: The authors proposed novel approaches and tests for estimating student preferences with data from centralized matching mechanisms, like the Gale-Shapley Deferred Acceptance, when students are strictly ranked by, e.g., test scores.
Abstract: We propose novel approaches and tests for estimating student preferences with data from centralized matching mechanisms, like the Gale-Shapley Deferred Acceptance, when students are strictly ranked by, e.g., test scores. Without requiring truthtelling to be the unique equilibrium, we show that the matching is (asymptotically) stable, or justified-envy-free, implying that every student is matched with her favorite school/college among those she is qualified for ex post. Having illustrated the approaches in simulations, we apply them to school choice data from Paris and demonstrate evidence supporting stability but not truth-telling. We discuss when each approach is more appropriate in real-life settings.

51 citations

Journal ArticleDOI
TL;DR: In this paper, a population Monte Carlo (MC) scheme is proposed to solve the missing variable model problem, which takes advantage of the latent structure of the problem and improves the performance of existing approaches.

51 citations

Journal ArticleDOI
TL;DR: In this paper, a combination of tools, proofs and results are presented in the framework of the concentration-compactness method for the existence of steady states to the Maxwell-Schrodinger system.
Abstract: This paper is intended to review recent results and open problems concerning the existence of steady states to the Maxwell-Schrodinger system. A combination of tools, proofs and results are presented in the framework of the concentration--compactness method.

51 citations

Journal ArticleDOI
TL;DR: In this paper, an improvement of functional inequalities based on scalings and written in terms of relative entropies is presented, and faster convergence rates in diffusion equations (fast diffusion, Ornstein-Uhlenbeck and porous medium equations) are obtained.
Abstract: This paper is devoted to improvements of functional inequalities based on scalings and written in terms of relative entropies. When scales are taken into account and second moments fixed accordingly, deficit functionals provide explicit stability measurements, i.e., bound with explicit constants distances to the manifold of optimal functions. Various results are obtained for the Gaussian logarithmic Sobolev inequality and its Euclidean counterpart, for the Gaussian generalized Poincare inequalities and for the Gagliardo-Nirenberg inequalities. As a consequence, faster convergence rates in diffusion equations (fast diffusion, Ornstein-Uhlenbeck and porous medium equations) are obtained.

51 citations

Journal ArticleDOI
TL;DR: Potential based no-regret dynamics are shown to be related to fictitious play, where e is the maximal regret, which vanishes with time, and allows for alternative and sometimes much shorter proofs of known results on convergence of no- Regret dynamics to the set of Nash equilibria.

51 citations


Authors

Showing all 1819 results

NameH-indexPapersCitations
Pierre-Louis Lions9828357043
Laurent D. Cohen9441742709
Chris Bowler8728835399
Christian P. Robert7553536864
Albert Cohen7136819874
Gabriel Peyré6530316403
Kerrie Mengersen6573720058
Nader Masmoudi6224510507
Roland Glowinski6139320599
Jean-Michel Morel5930229134
Nizar Touzi5722411018
Jérôme Lang5727711332
William L. Megginson5516918087
Alain Bensoussan5541722704
Yves Meyer5312814604
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202291
2021371
2020408
2019415
2018392