Theoretical guarantees for approximate sampling from smooth and log-concave densities AS Dalalyan Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 548 | 2017 |
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient AS Dalalyan, A Karagulyan Stochastic Processes and their Applications 129 (12), 5278-5311, 2019 | 315 | 2019 |
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity A Dalalyan, AB Tsybakov Machine Learning 72 (1), 39-61, 2008 | 229 | 2008 |
On the prediction performance of the lasso AS Dalalyan, M Hebiri, J Lederer | 202 | 2017 |
Sparse regression learning by aggregation and Langevin Monte-Carlo AS Dalalyan, AB Tsybakov Journal of Computer and System Sciences 78 (5), 1423-1443, 2012 | 186 | 2012 |
Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent A Dalalyan Conference on Learning Theory, 678-689, 2017 | 173 | 2017 |
On sampling from a log-concave density using kinetic Langevin diffusions AS Dalalyan, L Riou-Durand | 166 | 2020 |
Image denoising with patch based PCA: local versus global. CA Deledalle, J Salmon, AS Dalalyan BMVC 81, 425-455, 2011 | 131 | 2011 |
Aggregation by exponential weighting and sharp oracle inequalities AS Dalalyan, AB Tsybakov International Conference on Computational Learning Theory, 97-111, 2007 | 120 | 2007 |
Towards optimal naive bayes nearest neighbor R Behmo, P Marcombes, A Dalalyan, V Prinet Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 116 | 2010 |
Sharp oracle inequalities for aggregation of affine estimators AS Dalalyan, J Salmon | 95 | 2012 |
A new algorithm for estimating the effective dimension-reduction subspace AS Dalalyan, A Juditsky, V Spokoiny The Journal of Machine Learning Research 9, 1647-1678, 2008 | 89 | 2008 |
Tight conditions for consistency of variable selection in the context of high dimensionality L Comminges, AS Dalalyan The Annals of Statistics, 2667-2696, 2012 | 82 | 2012 |
Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case A Dalalyan, M Reiß Probability theory and related fields 137, 25-47, 2007 | 75 | 2007 |
Sharp adaptive estimation of the drift function for ergodic diffusions A Dalalyan | 72* | 2005 |
Mirror averaging with sparsity priors AS Dalalyan, AB Tsybakov | 68 | 2012 |
Outlier-robust estimation of a sparse linear model using -penalized Huber's -estimator A Dalalyan, P Thompson Advances in neural information processing systems 32, 2019 | 62 | 2019 |
Penalized maximum likelihood and semiparametric second-order efficiency AS Dalalyan, GK Golubev, AB Tsybakov | 59 | 2006 |
Minimax rates in permutation estimation for feature matching O Collier, AS Dalalyan The Journal of Machine Learning Research 17 (1), 162-192, 2016 | 54 | 2016 |
Asymptotically efficient trend coefficient estimation for ergodic diffusion AS Dalalyan, YA Kutoyants Mathematical Methods of Statistics 11 (4), 402-427, 2002 | 47 | 2002 |