Arnak S. Dalalyan

According to our database, Arnak S. Dalalyan authored at least 40 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Parallelized Midpoint Randomization for Langevin Monte Carlo.

Lu Yu, Arnak S. Dalalyan

CoRR, 2024

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution.

Elen Vardanyan, Sona Hunanyan, Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited.

Lu Yu, Avetik G. Karagulyan, Arnak S. Dalalyan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Guaranteed Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution.

Elen Vardanyan, Arshak Minasyan, Sona Hunanyan, Tigran Galstyan, Arnak S. Dalalyan

CoRR, 2023

Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels.

Etienne Donier-Meroz, Arnak S. Dalalyan, Francis Kramarz, Philippe Choné, Xavier D'Haultfoeuille

CoRR, 2023

Matching Map Recovery with an Unknown Number of Outliers.

Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets.

Arnak S. Dalalyan, Avetik G. Karagulyan, Lionel Riou-Durand

J. Mach. Learn. Res., 2022

Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction.

Amir-Hossein Bateni, Arshak Minasyan, Arnak S. Dalalyan

CoRR, 2022

Risk bounds for aggregated shallow neural networks using Gaussian priors.

Laura Tinsi, Arnak S. Dalalyan

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Optimal detection of the feature matching map in presence of noise and outliers.

Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan

CoRR, 2021

Statistical guarantees for generative models without domination.

Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan

Proceedings of the Algorithmic Learning Theory, 2021

2020

Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets.

Avetik G. Karagulyan, Arnak S. Dalalyan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A nonasymptotic law of iterated logarithm for general M-estimators.

Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Outlier-robust estimation of a sparse linear model using 𝓁₁-penalized Huber's M-estimator.

Arnak S. Dalalyan, Philip Thompson

CoRR, 2019

A nonasymptotic law of iterated logarithm for robust online estimators.

Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder

CoRR, 2019

Minimax rates in outlier-robust estimation of discrete models.

Amir-Hossein Bateni, Arnak S. Dalalyan

CoRR, 2019

Outlier-robust estimation of a sparse linear model using \ell_1-penalized Huber's M-estimator.

Arnak S. Dalalyan, Philip Thompson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

On sampling from a log-concave density using kinetic Langevin diffusions.

Arnak S. Dalalyan, Lionel Riou-Durand

CoRR, 2018

2017

User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.

Arnak S. Dalalyan, Avetik G. Karagulyan

CoRR, 2017

Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent.

Arnak S. Dalalyan

Proceedings of the 30th Conference on Learning Theory, 2017

2016

Minimax Rates in Permutation Estimation for Feature Matching.

Olivier Collier, Arnak S. Dalalyan

J. Mach. Learn. Res., 2016

On the Exponentially Weighted Aggregate with the Laplace Prior.

Arnak S. Dalalyan, Edwin Grappin, Quentin Paris

CoRR, 2016

2013

Learning Heteroscedastic Models by Convex Programming under Group Sparsity.

Arnak S. Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon

Proceedings of the 30th International Conference on Machine Learning, 2013

Permutation estimation and minimax rates of identifiability.

Olivier Collier, Arnak S. Dalalyan

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration.

Arnak S. Dalalyan, Olivier Collier

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Robust Estimation for an Inverse Problem Arising in Multiview Geometry.

Arnak S. Dalalyan, Renaud Keriven

J. Math. Imaging Vis., 2012

Sparse regression learning by aggregation and Langevin Monte-Carlo.

Arnak S. Dalalyan, Alexandre B. Tsybakov

J. Comput. Syst. Sci., 2012

On Camera Calibration with Linear Programming and Loop Constraint Linearization.

Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm

Int. J. Comput. Vis., 2012

Fused sparsity and robust estimation for linear models with unknown variance.

Arnak S. Dalalyan, Yin Chen

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Optimal aggregation of affine estimators.

Joseph Salmon, Arnak S. Dalalyan

Proceedings of the COLT 2011, 2011

Tight conditions for consistent variable selection in high dimensional nonparametric regression.

Laëtitia Comminges, Arnak S. Dalalyan

Proceedings of the COLT 2011, 2011

Image denoising with patch based PCA: local versus global.

Charles-Alban Deledalle, Joseph Salmon, Arnak S. Dalalyan

Proceedings of the British Machine Vision Conference, 2011

Competing against the Best Nearest Neighbor Filter in Regression.

Arnak S. Dalalyan, Joseph Salmon

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

Exploiting Loops in the Graph of Trifocal Tensors for Calibrating a Network of Cameras.

Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm

Proceedings of the Computer Vision, 2010

Towards Optimal Naive Bayes Nearest Neighbor.

Régis Behmo, Paul Marcombes, Arnak S. Dalalyan, Véronique Prinet

Proceedings of the Computer Vision, 2010

2009

L₁-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry.

Arnak S. Dalalyan, Renaud Keriven

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Sparse learning approach to the problem of robust estimation of camera locations.

Arnak S. Dalalyan, Renaud Keriven

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity.

Arnak S. Dalalyan, Alexandre B. Tsybakov

Mach. Learn., 2008

A New Algorithm for Estimating the Effective Dimension-Reduction Subspace.

Arnak S. Dalalyan, Anatoli B. Juditsky, Vladimir G. Spokoiny

J. Mach. Learn. Res., 2008

2007

Aggregation by Exponential Weighting and Sharp Oracle Inequalities.

Arnak S. Dalalyan, Alexandre B. Tsybakov

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007