Adrien Vacher

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All published works

Action	Title	Year	Authors
+ PDF Chat	Polynomial time sampling from log-smooth distributions in fixed dimension under semi-log-concavity of the forward diffusion with application to strongly dissipative distributions	2024	Adrien Vacher Omar Chehab Anna Korba
+ PDF Chat	Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics	2024	Omar Chehab Anna Korba Austin J. Stromme Adrien Vacher
+	Optimal Estimation of Smooth Transport Maps with Kernel SoS	2024	Adrien Vacher Boris Muzellec Francis Bach François-Xavier Vialard Alessandro Rudi
+ PDF Chat	Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation	2023	Adrien Vacher François-Xavier Vialard
+ PDF Chat	Stability of Semi-Dual Unbalanced Optimal Transport: fast statistical rates and convergent algorithm.	2022	Adrien Vacher François-Xavier Vialard
+ PDF Chat	Stability of Semi-Dual Unbalanced Optimal Transport: fast statistical rates and convergent algorithm.	2022	Adrien Vacher François-Xavier Vialard
+	Stability and upper bounds for statistical estimation of unbalanced transport potentials	2022	Adrien Vacher François-Xavier Vialard
+ PDF Chat	Convex transport potential selection with semi-dual criterion	2021	Adrien Vacher François-Xavier Vialard
+ PDF Chat	Near-optimal estimation of smooth transport maps with kernel sums-of-squares	2021	Boris Muzellec Adrien Vacher Francis Bach François-Xavier Vialard Alessandro Rudi
+ PDF Chat	A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation	2021	Adrien Vacher Boris Muzellec Alessandro Rudi Francis Bach François-Xavier Vialard
+	Breaking the curse: a dimension free computational upper-bound for smooth optimal transport estimation	2021	Adrien Vacher François-Xavier Vialard
+	Near-optimal estimation of smooth transport maps with kernel sums-of-squares	2021	Boris Muzellec Adrien Vacher Francis Bach François-Xavier Vialard Alessandro Rudi
+	A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation	2021	Adrien Vacher Boris Muzellec Alessandro Rudi Francis Bach François-Xavier Vialard
+	Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation	2021	Adrien Vacher François-Xavier Vialard

Common Coauthors

Coauthor	Papers Together
François-Xavier Vialard	12
Boris Muzellec	5
Alessandro Rudi	5
Francis Bach	4
Anna Korba	2
Omar Chehab	2
Francis Bach	1
Austin J. Stromme	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The Monge–Ampère equation and its link to optimal transportation	2014	Guido De Philippis Alessio Figalli	2
+ PDF Chat	Optimal Rates for the Regularized Least-Squares Algorithm	2006	Andrea Caponnetto Ernesto De Vito	2
+ PDF Chat	Optimal Transport for Domain Adaptation	2016	Nicolas Courty Rémi Flamary Devis Tuia Alain Rakotomamonjy	1
+	Interior-Point Polynomial Algorithms in Convex Programming	1994	Yurii Nesterov Arkadi Nemirovski	1
+	Semidefinite programming relaxations for semialgebraic problems	2003	Pablo A. Parrilo	1
+	Global Optimization with Polynomials and the Problem of Moments	2001	Jean B. Lasserre	1
+ PDF Chat	A Sum of Squares Approximation of Nonnegative Polynomials	2007	Jean B. Lasserre	1
+ PDF Chat	Smoothness of certain metric projections on Hilbert space	1973	Richard B. Holmes	1
+ PDF Chat	Whitney Estimates for Convex Domains with Applications to Multivariate Piecewise Polynomial Approximation	2004	Shai Dekel D. Leviatan	1
+ PDF Chat	The regularity of mappings with a convex potential	1992	Luis Caffarelli	1
+	M-estimation using penalties or sieves	2002	Sara van de Geer	1
+	On the distribution of points in a cube and the approximate evaluation of integrals	1967	I. M. Sobol	1
+	On Learning with Integral Operators	2010	Lorenzo Rosasco Mikhail A. Belkin Ernesto De Vito	1
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+ PDF Chat	The Covering Radius of Randomly Distributed Points on a Manifold	2015	Alexander Reznikov Edward B. Saff	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1
+	Integral Inequalities of Poincare and Wirtinger Type for BV Functions	1977	Norman G. Meyers William P. Ziemer	1
+	Optimal Transport for Applied Mathematicians : Calculus of Variations, PDEs, and Modeling	2015	Filippo Santambrogio	1
+ PDF Chat	Optimal Transport for Diffeomorphic Registration	2017	Jean Feydy Benjamin Charlier François-Xavier Vialard Gabriel Peyré	1
+	Gagliardo–Nirenberg inequalities and non-inequalities: The full story	2017	Petru Mironescu Haı̈m Brezis	1
+ PDF Chat	Computational Optimal Transport	2019	Gabriel Peyré Marco Cuturi	1
+	Sample Complexity of Sinkhorn divergences	2018	Aude Genevay Lénaïc Chizat Francis Bach Marco Cuturi Gabriel Peyré	1
+	On How Well Generative Adversarial Networks Learn Densities: Nonparametric and Parametric Results.	2018	Tengyuan Liang	1
+	Estimation of smooth densities in Wasserstein distance	2019	Jonathan Weed Quentin Berthet	1
+ PDF Chat	On the rate of convergence in Wasserstein distance of the empirical measure	2014	Nicolas Fournier Arnaud Guillin	1
+	Learning Generative Models with Sinkhorn Divergences	2017	Aude Genevay Gabriel Peyré Marco Cuturi	1
+	Wasserstein Auto-Encoders	2018	Ilya Tolstikhin Olivier Bousquet Sylvain Gelly Bernhard Schölkopf	1
+	Improving GANs Using Optimal Transport	2018	Tim Salimans Han Zhang Alec Radford Dimitris Metaxas	1
+	Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem	2019	Gonzalo E. Mena Jonathan Niles‐Weed	1
+ PDF Chat	Estimation of Wasserstein distances in the Spiked Transport Model	2022	Jonathan Niles‐Weed Philippe Rigollet	1
+	Estimating Certain Integral Probability Metric (IPM) is as Hard as Estimating under the IPM	2019	Tengyuan Liang	1
+ PDF Chat	Random points are optimal for the approximation of Sobolev functions	2023	David Krieg Mathias Sonnleitner	1
+	Hard Shape-Constrained Kernel Machines	2020	Pierre-Cyril Aubin-Frankowski Zoltán Szabó	1
+ PDF Chat	Finding global minima via kernel approximations	2024	Alessandro Rudi Ulysse Marteau-Ferey Francis Bach	1
+ PDF Chat	Convex Optimization: Algorithms and Complexity	2015	Sébastien Bubeck	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1
+	Learning with a Wasserstein Loss	2015	Charlie Frogner Chiyuan Zhang Hossein Mobahi Mauricio Araya‐Polo Tomaso Poggio	1
+	Moments, Positive Polynomials and Their Applications	2009	Jean B. Lasserre	1
+	Convex Optimization Theory	2009	Dimitri P. Bertsekas	1
+	Elliptic Problems in Nonsmooth Domains	2011	Pierre Grisvard	1