A. Dalalyan

Most-cited papers

Theoretical guarantees for approximate sampling from smooth and log‐concave densities
A. Dalalyan
2014634 citations Open access
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User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
A. Dalalyan, Avetik G. Karagulyan
2017Stochastic Processes and their Applications349 citations Open access
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Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent
A. Dalalyan
2017Annual Conference Computational Learning Theory200 citations
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On sampling from a log-concave density using kinetic Langevin diffusions
A. Dalalyan, L. Riou-Durand
2018Bernoulli191 citations Open access
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Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
A. Dalalyan, A. Tsybakov
2009Annual Conference Computational Learning Theory191 citations Open access
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Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
A. Dalalyan, A. Tsybakov
2008Machine-mediated learning191 citations Open access
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On the Prediction Performance of the Lasso
A. Dalalyan, Mohamed Hebiri, Johannes Lederer
2014179 citations Open access
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Image denoising with patch based PCA: local versus global
Charles-Alban Deledalle, J. Salmon, A. Dalalyan
2011British Machine Vision Conference117 citations
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Aggregation by Exponential Weighting and Sharp Oracle Inequalities
A. Dalalyan, A. Tsybakov
2007Annual Conference Computational Learning Theory115 citations
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Sharp Oracle Inequalities for Aggregation of Affine Estimators
A. Dalalyan, J. Salmon
201191 citations Open access
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Towards Optimal Naive Bayes Nearest Neighbor
Régis Behmo, Paul Marcombes, A. Dalalyan, V. Prinet
2010European Conference on Computer Vision91 citations
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A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
A. Dalalyan, A. Juditsky, V. Spokoiny
2007Journal of machine learning research79 citations
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Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case
A. Dalalyan, M. Reiß
200579 citations Open access
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Outlier-robust estimation of a sparse linear model using 𝓁1-penalized Huber's M-estimator
A. Dalalyan, Philip Thompson
2019Neural Information Processing Systems72 citations
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Tight conditions for consistency of variable selection in the context of high dimensionality
Laëtitia Comminges, A. Dalalyan
201171 citations Open access
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Sharp adaptive estimation of the drift function for ergodic diffusions
A. Dalalyan
200568 citations Open access
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Mirror averaging with sparsity priors
A. Dalalyan, A. Tsybakov
201060 citations Open access
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Minimax Testing of a Composite null Hypothesis Defined via a Quadratic Functional in the Model of regression
Laëtitia Comminges, A. Dalalyan
201254 citations Open access
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PENALIZED MAXIMUM LIKELIHOOD AND SEMIPARAMETRIC SECOND-ORDER EFFICIENCY
A. Dalalyan, G. Golubev, A. Tsybakov
200652 citations Open access
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Asymptotic statistical equivalence for scalar ergodic diffusions
A. Dalalyan, M. Reiß
200651 citations Open access
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Minimax Rates in Permutation Estimation for Feature Matching
O. Collier, A. Dalalyan
2013Journal of machine learning research50 citations
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Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets
A. Dalalyan, Avetik G. Karagulyan, L. Riou-Durand
2019Journal of machine learning research46 citations
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Fused sparsity and robust estimation for linear models with unknown variance
A. Dalalyan, Yin Chen
2012Neural Information Processing Systems42 citations
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Statistical guarantees for generative models without domination
Nicolas Schreuder, Victor-Emmanuel Brunel, A. Dalalyan
2020International Conference on Algorithmic Learning Theory39 citations
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All-in-one robust estimator of the Gaussian mean
A. Dalalyan, A. Minasyan
2020Annals of Statistics37 citations Open access
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L1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
A. Dalalyan, R. Keriven
2009Neural Information Processing Systems35 citations
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On the prediction loss of the lasso in the partially labeled setting
P. Bellec, A. Dalalyan, Edwin Grappin, Q. Paris
201633 citations Open access
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ASYMPTOTICALLY EFFICIENT TREND COEFFICIENT ESTIMATION FOR ERGODIC DIFFUSION
A. Dalalyan, Y. Kutoyants
200332 citations
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Learning Heteroscedastic Models by Convex Programming under Group Sparsity
A. Dalalyan, Mohamed Hebiri, K. Meziani, J. Salmon
2013International Conference on Machine Learning28 citations
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Statistical inference in compound functional models
A. Dalalyan, Yu. I. Ingster, A. Tsybakov
2012Probability theory and related fields27 citations Open access
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On the Exponentially Weighted Aggregate with the Laplace Prior
A. Dalalyan, Edwin Grappin, Q. Paris
2016Annals of Statistics22 citations Open access
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Second-order asymptotic expansion for a non-synchronous covariation estimator
A. Dalalyan, Nakahiro Yoshida
200821 citations Open access
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Exploiting Loops in the Graph of Trifocal Tensors for Calibrating a Network of Cameras
Jérôme Courchay, A. Dalalyan, R. Keriven, P. Sturm
2010European Conference on Computer Vision20 citations Open access
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Curve registration by nonparametric goodness-of-fit testing
O. Collier, A. Dalalyan
201119 citations Open access
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Exponential weights in multivariate regression and a low-rankness favoring prior
A. Dalalyan
2018Annales De L Institut Henri Poincare-probabilites Et Statistiques17 citations Open access
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Robust Estimation for an Inverse Problem Arising in Multiview Geometry
A. Dalalyan, R. Keriven
2011Journal of Mathematical Imaging and Vision17 citations Open access
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Parallelized Midpoint Randomization for Langevin Monte Carlo
Lu Yu, A. Dalalyan
2024Stochastic Processes and their Applications15 citations
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Asymptotically Efficient Estimation of the Derivative of the Invariant Density
A. Dalalyan, Y. Kutoyants
200314 citations
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Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Lu Yu, Avetik G. Karagulyan, A. Dalalyan
2023International Conference on Learning Representations12 citations Open access
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Optimal detection of the feature matching map in presence of noise and outliers
T. Galstyan, A. Minasyan, A. Dalalyan
2021Electronic Journal of Statistics12 citations Open access
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Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean
O. Collier, A. Dalalyan
2019Electronic Journal of Statistics12 citations Open access
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Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by Maximum Likelihood
A. Dalalyan, M. Sebbar
201712 citations Open access
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SOCP based variance free Dantzig Selector with application to robust estimation
A. Dalalyan
201212 citations Open access
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Stein shrinkage and second-order efficiency for semiparametric estimation of the shift
A. Dalalyan
200512 citations Open access
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On second order minimax estimation of invariant density for ergodic diffusion
A. Dalalyan, Y. Kutoyants
200412 citations
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Rate-optimal estimation of p-dimensional linear functionals in a sparse Gaussian model
O. Collier, A. Dalalyan
201811 citations
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Optimal aggregation of affine estimators
Joseph Salmon, A. Dalalyan
2011Annual Conference Computational Learning Theory11 citations
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On estimation of the diagonal elements of a sparse precision matrix
Samuel Balmand, A. Dalalyan
201510 citations Open access
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A nonasymptotic law of iterated logarithm for general M-estimators
A. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
2019International Conference on Artificial Intelligence and Statistics9 citations
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Risk bounds for aggregated shallow neural networks using Gaussian priors
L. Tinsi, A. Dalalyan
2021Annual Conference Computational Learning Theory8 citations
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