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Victor-Emmanuel Brunel
Victor-Emmanuel Brunel
ENSAE-CREST, Professor in Statistics
Verified email at ensae.fr - Homepage
Title
Cited by
Cited by
Year
Best arm identification for contaminated bandits
J Altschuler, VE Brunel, A Malek
Journal of Machine Learning Research 20 (91), 1-39, 2019
522019
Learning nonsymmetric determinantal point processes
M Gartrell, VE Brunel, E Dohmatob, S Krichene
Advances in Neural Information Processing Systems 32, 2019
432019
Concentration of the empirical level sets of Tukey’s halfspace depth
VE Brunel
Probability Theory and Related Fields 173 (3-4), 1165-1196, 2019
372019
Statistical guarantees for generative models without domination
N Schreuder, VE Brunel, A Dalalyan
Algorithmic Learning Theory, 1051-1071, 2021
352021
Learning signed determinantal point processes through the principal minor assignment problem
VE Brunel
Advances in Neural Information Processing Systems 31, 2018
292018
Learning determinantal point processes with moments and cycles
J Urschel, VE Brunel, A Moitra, P Rigollet
International Conference on Machine Learning, 3511-3520, 2017
252017
Propose, test, release: Differentially private estimation with high probability
VE Brunel, M Avella-Medina
arXiv preprint arXiv:2002.08774, 2020
212020
Methods for estimation of convex sets
VE Brunel
Statistical Science 33 (4), 615-632, 2018
212018
Adaptive estimation of convex polytopes and convex sets from noisy data
VE Brunel
212013
Adaptive estimation of convex and polytopal density support
VE Brunel
Probability Theory and Related Fields 164 (1-2), 1-16, 2016
192016
Differentially private sub-Gaussian location estimators
M Avella-Medina, VE Brunel
arXiv preprint arXiv:1906.11923, 2019
172019
Rates of estimation for determinantal point processes
VE Brunel, A Moitra, P Rigollet, J Urschel
Conference on Learning Theory, 343-345, 2017
162017
Scalable learning and MAP inference for nonsymmetric determinantal point processes
M Gartrell, I Han, E Dohmatob, J Gillenwater, VE Brunel
arXiv preprint arXiv:2006.09862, 2020
142020
Learning rates for Gaussian mixtures under group action
VE Brunel
Conference on Learning Theory, 471-491, 2019
112019
Maximum likelihood estimation of determinantal point processes
VE Brunel, A Moitra, P Rigollet, J Urschel
arXiv preprint arXiv:1701.06501, 2017
112017
Non-parametric estimation of convex bodies and convex polytopes
VE Brunel
Université Pierre et Marie Curie-Paris VI; University of Haifa, 2014
82014
Estimation of convex supports from noisy measurements
VE Brunel, JM Klusowski, D Yang
72021
Convex set detection
VE Brunel
arXiv preprint arXiv:1404.6224, 2014
72014
Uniform behaviors of random polytopes under the Hausdorff metric
VE Brunel
62019
Concentration of empirical barycenters in metric spaces
VE Brunel, J Serres
arXiv preprint arXiv:2303.01144, 2023
52023
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