Arnak S. Dalalyan

47 papers A* 10A 5B 2Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds. CoRR Vahan Arsenyan, Elen Vardanyan, Arnak S. Dalalyan
2024	A*	`conf`	Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited. ICLR Lu Yu, Avetik G. Karagulyan, Arnak S. Dalalyan
2024	J	`jnl`	Parallelized Midpoint Randomization for Langevin Monte Carlo. CoRR Lu Yu, Arnak S. Dalalyan
2024	A*	`conf`	Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution. ICML Elen Vardanyan, Sona Hunanyan, Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan
2023	J	`jnl`	Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels. CoRR Etienne Donier-Meroz, Arnak S. Dalalyan, Francis Kramarz, Philippe Choné, Xavier D'Haultfoeuille
2023	J	`jnl`	Guaranteed Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution. CoRR Elen Vardanyan, Arshak Minasyan, Sona Hunanyan, Tigran Galstyan, Arnak S. Dalalyan
2023	J	`jnl`	Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited. CoRR Lu Yu, Avetik G. Karagulyan, Arnak S. Dalalyan
2023	A	`conf`	Matching Map Recovery with an Unknown Number of Outliers. AISTATS Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan
2022	J	`jnl`	Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets. J. Mach. Learn. Res. Arnak S. Dalalyan, Avetik G. Karagulyan, Lionel Riou-Durand
2022	J	`jnl`	Matching Map Recovery with an Unknown Number of Outliers. CoRR Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan
2022	J	`jnl`	Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction. CoRR Amir-Hossein Bateni, Arshak Minasyan, Arnak S. Dalalyan
2022	A*	`conf`	Risk bounds for aggregated shallow neural networks using Gaussian priors. COLT Laura Tinsi, Arnak S. Dalalyan
2021	J	`jnl`	Optimal detection of the feature matching map in presence of noise and outliers. CoRR Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan
2021	B	`conf`	Statistical guarantees for generative models without domination. ALT Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan
2020	A	`conf`	A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
2020	A*	`conf`	Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets. NeurIPS Avetik G. Karagulyan, Arnak S. Dalalyan
2020	J	`jnl`	Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets. CoRR Avetik G. Karagulyan, Arnak S. Dalalyan
2019	J	`jnl`	A nonasymptotic law of iterated logarithm for robust online estimators. CoRR Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder
2019	J	`jnl`	Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets. CoRR Arnak S. Dalalyan, Lionel Riou-Durand, Avetik G. Karagulyan
2019	J	`jnl`	Minimax rates in outlier-robust estimation of discrete models. CoRR Amir-Hossein Bateni, Arnak S. Dalalyan
2019	A*	`conf`	Outlier-robust estimation of a sparse linear model using \ell_1-penalized Huber's M-estimator. NeurIPS Arnak S. Dalalyan, Philip Thompson
2019	J	`jnl`	Outlier-robust estimation of a sparse linear model using 𝓁 CoRR Arnak S. Dalalyan, Philip Thompson
2018	J	`jnl`	On sampling from a log-concave density using kinetic Langevin diffusions. CoRR Arnak S. Dalalyan, Lionel Riou-Durand
2017	A*	`conf`	Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent. COLT Arnak S. Dalalyan
2017	J	`jnl`	User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient. CoRR Arnak S. Dalalyan, Avetik G. Karagulyan
2016	J	`jnl`	Minimax Rates in Permutation Estimation for Feature Matching. J. Mach. Learn. Res. Olivier Collier, Arnak S. Dalalyan
2016	J	`jnl`	On the Exponentially Weighted Aggregate with the Laplace Prior. CoRR Arnak S. Dalalyan, Edwin Grappin, Quentin Paris
2013	—	`conf`	Learning Heteroscedastic Models by Convex Programming under Group Sparsity. ICML (3) Arnak S. Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon
2013	J	`jnl`	Minimax rates in permutation estimation for feature matching. CoRR Olivier Collier, Arnak S. Dalalyan
2013	A	`conf`	Permutation estimation and minimax rates of identifiability. AISTATS Olivier Collier, Arnak S. Dalalyan
2012	—	`conf`	Fused sparsity and robust estimation for linear models with unknown variance. NIPS Arnak S. Dalalyan, Yin Chen
2012	J	`jnl`	On Camera Calibration with Linear Programming and Loop Constraint Linearization. Int. J. Comput. Vis. Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm
2012	J	`jnl`	Robust Estimation for an Inverse Problem Arising in Multiview Geometry. J. Math. Imaging Vis. Arnak S. Dalalyan, Renaud Keriven
2012	J	`jnl`	Sparse regression learning by aggregation and Langevin Monte-Carlo. J. Comput. Syst. Sci. Arnak S. Dalalyan, Alexandre B. Tsybakov
2012	A	`conf`	Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration. AISTATS Arnak S. Dalalyan, Olivier Collier
2011	B	`conf`	Competing against the Best Nearest Neighbor Filter in Regression. ALT Arnak S. Dalalyan, Joseph Salmon
2011	A	`conf`	Image denoising with patch based PCA: local versus global. BMVC Charles-Alban Deledalle, Joseph Salmon, Arnak S. Dalalyan
2011	A*	`conf`	Optimal aggregation of affine estimators. COLT Joseph Salmon, Arnak S. Dalalyan
2011	A*	`conf`	Tight conditions for consistent variable selection in high dimensional nonparametric regression. COLT Laëtitia Comminges, Arnak S. Dalalyan
2010	—	`conf`	Exploiting Loops in the Graph of Trifocal Tensors for Calibrating a Network of Cameras. ECCV (2) Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm
2010	—	`conf`	Towards Optimal Naive Bayes Nearest Neighbor. ECCV (4) Régis Behmo, Paul Marcombes, Arnak S. Dalalyan, Véronique Prinet
2009	—	`conf`	L NIPS Arnak S. Dalalyan, Renaud Keriven
2009	A*	`conf`	Sparse Regression Learning by Aggregation and Langevin Monte-Carlo. COLT Arnak S. Dalalyan, Alexandre B. Tsybakov
2009	—	`conf`	Sparse learning approach to the problem of robust estimation of camera locations. ICCV Workshops Arnak S. Dalalyan, Renaud Keriven
2008	J	`jnl`	A New Algorithm for Estimating the Effective Dimension-Reduction Subspace. J. Mach. Learn. Res. Arnak S. Dalalyan, Anatoli B. Juditsky, Vladimir G. Spokoiny
2008	J	`jnl`	Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. Mach. Learn. Arnak S. Dalalyan, Alexandre B. Tsybakov
2007	A*	`conf`	Aggregation by Exponential Weighting and Sharp Oracle Inequalities. COLT Arnak S. Dalalyan, Alexandre B. Tsybakov