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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
622019
Learning nonsymmetric determinantal point processes
M Gartrell, VE Brunel, E Dohmatob, S Krichene
Advances in Neural Information Processing Systems 32, 2019
502019
Statistical guarantees for generative models without domination
N Schreuder, VE Brunel, A Dalalyan
Algorithmic Learning Theory, 1051-1071, 2021
462021
Concentration of the empirical level sets of Tukey’s halfspace depth
VE Brunel
Probability Theory and Related Fields 173 (3), 1165-1196, 2019
402019
Learning signed determinantal point processes through the principal minor assignment problem
VE Brunel
Advances in Neural Information Processing Systems 31, 2018
332018
Learning determinantal point processes with moments and cycles
J Urschel, VE Brunel, A Moitra, P Rigollet
International Conference on Machine Learning, 3511-3520, 2017
322017
Methods for estimation of convex sets
VE Brunel
Statistical science 33 (4), 615-632, 2018
272018
Propose, test, release: Differentially private estimation with high probability
VE Brunel, M Avella-Medina
arXiv preprint arXiv:2002.08774, 2020
232020
Adaptive estimation of convex polytopes and convex sets from noisy data
VE Brunel
232013
Differentially private sub-Gaussian location estimators
M Avella-Medina, VE Brunel
arXiv preprint arXiv:1906.11923, 2019
212019
Rates of estimation for determinantal point processes
VE Brunel, A Moitra, P Rigollet, J Urschel
Conference on Learning Theory, 343-345, 2017
202017
Adaptive estimation of convex and polytopal density support
VE Brunel
Probability Theory and Related Fields 164 (1), 1-16, 2016
202016
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
182020
Exponential smoothing for off-policy learning
I Aouali, VE Brunel, D Rohde, A Korba
International Conference on Machine Learning, 984-1017, 2023
162023
Maximum likelihood estimation of determinantal point processes
VE Brunel, A Moitra, P Rigollet, J Urschel
arXiv preprint arXiv:1701.06501, 2017
132017
Learning rates for Gaussian mixtures under group action
VE Brunel
Conference on Learning Theory, 471-491, 2019
112019
Concentration of empirical barycenters in metric spaces
VE Brunel, J Serres
International Conference on Algorithmic Learning Theory, 337-361, 2024
92024
Convex set detection
VE Brunel
arXiv preprint arXiv:1404.6224, 2014
92014
Estimation of convex supports from noisy measurements
VE Brunel, JM Klusowski, D Yang
82021
Uniform behaviors of random polytopes under the Hausdorff metric
VE Brunel
Bernoulli 25 (3), 1770-1793, 2019
82019
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