| Best arm identification for contaminated bandits J Altschuler, VE Brunel, A Malek Journal of Machine Learning Research 20 (91), 1-39, 2019 | 62 | 2019 |
| Learning nonsymmetric determinantal point processes M Gartrell, VE Brunel, E Dohmatob, S Krichene Advances in Neural Information Processing Systems 32, 2019 | 47 | 2019 |
| Statistical guarantees for generative models without domination N Schreuder, VE Brunel, A Dalalyan Algorithmic Learning Theory, 1051-1071, 2021 | 46 | 2021 |
| Concentration of the empirical level sets of Tukey’s halfspace depth VE Brunel Probability Theory and Related Fields 173 (3), 1165-1196, 2019 | 40 | 2019 |
| Learning determinantal point processes with moments and cycles J Urschel, VE Brunel, A Moitra, P Rigollet International Conference on Machine Learning, 3511-3520, 2017 | 32 | 2017 |
| Learning signed determinantal point processes through the principal minor assignment problem VE Brunel Advances in Neural Information Processing Systems 31, 2018 | 31 | 2018 |
| Methods for estimation of convex sets VE Brunel Statistical science 33 (4), 615-632, 2018 | 26 | 2018 |
| Propose, test, release: Differentially private estimation with high probability VE Brunel, M Avella-Medina arXiv preprint arXiv:2002.08774, 2020 | 23 | 2020 |
| Adaptive estimation of convex polytopes and convex sets from noisy data VE Brunel | 22 | 2013 |
| Differentially private sub-Gaussian location estimators M Avella-Medina, VE Brunel arXiv preprint arXiv:1906.11923, 2019 | 21 | 2019 |
| Rates of estimation for determinantal point processes VE Brunel, A Moitra, P Rigollet, J Urschel Conference on Learning Theory, 343-345, 2017 | 20 | 2017 |
| Adaptive estimation of convex and polytopal density support VE Brunel Probability Theory and Related Fields 164 (1), 1-16, 2016 | 19 | 2016 |
| Exponential smoothing for off-policy learning I Aouali, VE Brunel, D Rohde, A Korba International Conference on Machine Learning, 984-1017, 2023 | 16 | 2023 |
| 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 | 16 | 2020 |
| Maximum likelihood estimation of determinantal point processes VE Brunel, A Moitra, P Rigollet, J Urschel arXiv preprint arXiv:1701.06501, 2017 | 13 | 2017 |
| Learning rates for Gaussian mixtures under group action VE Brunel Conference on Learning Theory, 471-491, 2019 | 11 | 2019 |
| Concentration of empirical barycenters in metric spaces VE Brunel, J Serres International Conference on Algorithmic Learning Theory, 337-361, 2024 | 9 | 2024 |
| Convex set detection VE Brunel arXiv preprint arXiv:1404.6224, 2014 | 9 | 2014 |
| Uniform behaviors of random polytopes under the Hausdorff metric VE Brunel Bernoulli 25 (3), 1770-1793, 2019 | 8 | 2019 |
| Non-parametric estimation of convex bodies and convex polytopes VE Brunel Université Pierre et Marie Curie-Paris VI; University of Haifa, 2014 | 8 | 2014 |
