| Best Arm Identification for Contaminated Bandits. JM Altschuler, VE Brunel, A Malek J. Mach. Learn. Res. 20 (91), 1-39, 2019 | 43 | 2019 |
| Learning nonsymmetric determinantal point processes M Gartrell, VE Brunel, E Dohmatob, S Krichene Advances in Neural Information Processing Systems 32, 2019 | 41 | 2019 |
| Concentration of the empirical level sets of Tukey’s halfspace depth VE Brunel Probability Theory and Related Fields 173 (3-4), 1165-1196, 2019 | 33 | 2019 |
| Statistical guarantees for generative models without domination N Schreuder, VE Brunel, A Dalalyan Algorithmic Learning Theory, 1051-1071, 2021 | 31 | 2021 |
| Learning signed determinantal point processes through the principal minor assignment problem VE Brunel Advances in Neural Information Processing Systems 31, 2018 | 29 | 2018 |
| Learning determinantal point processes with moments and cycles J Urschel, VE Brunel, A Moitra, P Rigollet International Conference on Machine Learning, 3511-3520, 2017 | 21 | 2017 |
| Adaptive estimation of convex polytopes and convex sets from noisy data VE Brunel | 20 | 2013 |
| Methods for estimation of convex sets VE Brunel Statistical Science 33 (4), 615-632, 2018 | 18 | 2018 |
| Adaptive estimation of convex and polytopal density support VE Brunel Probability Theory and Related Fields 164 (1-2), 1-16, 2016 | 17 | 2016 |
| Propose, test, release: Differentially private estimation with high probability VE Brunel, M Avella-Medina arXiv preprint arXiv:2002.08774, 2020 | 16 | 2020 |
| Rates of estimation for determinantal point processes VE Brunel, A Moitra, P Rigollet, J Urschel Conference on Learning Theory, 343-345, 2017 | 16 | 2017 |
| 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 | 14 | 2020 |
| Differentially private sub-Gaussian location estimators M Avella-Medina, VE Brunel arXiv preprint arXiv:1906.11923, 2019 | 14 | 2019 |
| Learning rates for Gaussian mixtures under group action VE Brunel Conference on Learning Theory, 471-491, 2019 | 9 | 2019 |
| Maximum likelihood estimation of determinantal point processes VE Brunel, A Moitra, P Rigollet, J Urschel arXiv preprint arXiv:1701.06501, 2017 | 8 | 2017 |
| Non-parametric estimation of convex bodies and convex polytopes VE Brunel Université Pierre et Marie Curie-Paris VI; University of Haifa, 2014 | 7 | 2014 |
| Estimation of convex supports from noisy measurements VE Brunel, JM Klusowski, D Yang | 6 | 2021 |
| A nonasymptotic law of iterated logarithm for general M-estimators N Schreuder, VE Brunel, A Dalalyan International Conference on Artificial Intelligence and Statistics, 1331-1341, 2020 | 6 | 2020 |
| Uniform behaviors of random polytopes under the Hausdorff metric VE Brunel | 6 | 2019 |
| Convex set detection VE Brunel arXiv preprint arXiv:1404.6224, 2014 | 6 | 2014 |
