Arnak S. Dalalyan

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 25

Top Topics

Robust Estimator

Generative Model

Top Venues

J. Mach. Learn. Res.

Publications

Lu Yu, Avetik G. Karagulyan, Arnak S. Dalalyan
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited. ICLR (2024)
Lu Yu, Arnak S. Dalalyan
Parallelized Midpoint Randomization for Langevin Monte Carlo. CoRR (2024)
Etienne Donier-Meroz, Arnak S. Dalalyan, Francis Kramarz, Philippe Choné, Xavier D'Haultfoeuille
Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels. CoRR (2023)
Elen Vardanyan, Arshak Minasyan, Sona Hunanyan, Tigran Galstyan, Arnak S. Dalalyan
Guaranteed Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution. CoRR (2023)
Lu Yu, Avetik G. Karagulyan, Arnak S. Dalalyan
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited. CoRR (2023)
Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan
Matching Map Recovery with an Unknown Number of Outliers. AISTATS (2023)
Laura Tinsi, Arnak S. Dalalyan
Risk bounds for aggregated shallow neural networks using Gaussian priors. COLT (2022)
Arnak S. Dalalyan, Avetik G. Karagulyan, Lionel Riou-Durand
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets. J. Mach. Learn. Res. 23 (2022)
Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan
Matching Map Recovery with an Unknown Number of Outliers. CoRR (2022)
Amir-Hossein Bateni, Arshak Minasyan, Arnak S. Dalalyan
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction. CoRR (2022)
Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan
Statistical guarantees for generative models without domination. ALT (2021)
Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan
Optimal detection of the feature matching map in presence of noise and outliers. CoRR (2021)
Avetik G. Karagulyan, Arnak S. Dalalyan
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets. CoRR (2020)
Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS (2020)
Avetik G. Karagulyan, Arnak S. Dalalyan
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets. NeurIPS (2020)
Arnak S. Dalalyan, Philip Thompson
-penalized Huber's M-estimator. CoRR (2019)
Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder
A nonasymptotic law of iterated logarithm for robust online estimators. CoRR (2019)
Amir-Hossein Bateni, Arnak S. Dalalyan
Minimax rates in outlier-robust estimation of discrete models. CoRR (2019)
Arnak S. Dalalyan, Philip Thompson
Outlier-robust estimation of a sparse linear model using \ell_1-penalized Huber's M-estimator. NeurIPS (2019)
Arnak S. Dalalyan, Lionel Riou-Durand, Avetik G. Karagulyan
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets. CoRR (2019)
Arnak S. Dalalyan, Lionel Riou-Durand
On sampling from a log-concave density using kinetic Langevin diffusions. CoRR (2018)
Arnak S. Dalalyan, Avetik G. Karagulyan
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient. CoRR (2017)
Arnak S. Dalalyan
Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent. COLT (2017)
Olivier Collier, Arnak S. Dalalyan
Minimax Rates in Permutation Estimation for Feature Matching. J. Mach. Learn. Res. 17 (2016)
Arnak S. Dalalyan, Edwin Grappin, Quentin Paris
On the Exponentially Weighted Aggregate with the Laplace Prior. CoRR (2016)
Arnak S. Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon
Learning Heteroscedastic Models by Convex Programming under Group Sparsity. ICML (3) (2013)
Olivier Collier, Arnak S. Dalalyan
Permutation estimation and minimax rates of identifiability. AISTATS (2013)
Olivier Collier, Arnak S. Dalalyan
Minimax rates in permutation estimation for feature matching. CoRR (2013)
Arnak S. Dalalyan, Yin Chen
Fused sparsity and robust estimation for linear models with unknown variance. NIPS (2012)
Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm
On Camera Calibration with Linear Programming and Loop Constraint Linearization. Int. J. Comput. Vis. 97 (1) (2012)
Arnak S. Dalalyan, Alexandre B. Tsybakov
Sparse regression learning by aggregation and Langevin Monte-Carlo. J. Comput. Syst. Sci. 78 (5) (2012)
Arnak S. Dalalyan, Olivier Collier
Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration. AISTATS (2012)
Arnak S. Dalalyan, Renaud Keriven
Robust Estimation for an Inverse Problem Arising in Multiview Geometry. J. Math. Imaging Vis. 43 (1) (2012)
Joseph Salmon, Arnak S. Dalalyan
Optimal aggregation of affine estimators. COLT (2011)
Charles-Alban Deledalle, Joseph Salmon, Arnak S. Dalalyan
Image denoising with patch based PCA: local versus global. BMVC (2011)
Laëtitia Comminges, Arnak S. Dalalyan
Tight conditions for consistent variable selection in high dimensional nonparametric regression. COLT (2011)
Arnak S. Dalalyan, Joseph Salmon
Competing against the Best Nearest Neighbor Filter in Regression. ALT (2011)
Régis Behmo, Paul Marcombes, Arnak S. Dalalyan, Véronique Prinet
Towards Optimal Naive Bayes Nearest Neighbor. ECCV (4) (2010)
Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm
Exploiting Loops in the Graph of Trifocal Tensors for Calibrating a Network of Cameras. ECCV (2) (2010)
Arnak S. Dalalyan, Renaud Keriven
-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry. NIPS (2009)
Arnak S. Dalalyan, Renaud Keriven
Sparse learning approach to the problem of robust estimation of camera locations. ICCV Workshops (2009)
Arnak S. Dalalyan, Alexandre B. Tsybakov
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo. COLT (2009)
Arnak S. Dalalyan, Alexandre B. Tsybakov
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. Mach. Learn. 72 (1-2) (2008)
Arnak S. Dalalyan, Anatoli B. Juditsky, Vladimir G. Spokoiny
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace. J. Mach. Learn. Res. 9 (2008)
Arnak S. Dalalyan, Alexandre B. Tsybakov
Aggregation by Exponential Weighting and Sharp Oracle Inequalities. COLT (2007)