Dalalyan, Arnak

12 publications

AISTATS 2023 Matching mAP Recovery with an Unknown Number of Outliers Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak Dalalyan

COLT 2022 Risk Bounds for Aggregated Shallow Neural Networks Using Gaussian Priors Laura Tinsi, Arnak Dalalyan

ALT 2021 Statistical Guarantees for Generative Models Without Domination Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan

AISTATS 2020 A Nonasymptotic Law of Iterated Logarithm for General M-Estimators Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan

NeurIPS 2020 Penalized Langevin Dynamics with Vanishing Penalty for Smooth and Log-Concave Targets Avetik Karagulyan, Arnak Dalalyan

NeurIPS 2019 Outlier-Robust Estimation of a Sparse Linear Model Using $\ell_1$-Penalized Huber's $m$-Estimator Arnak Dalalyan, Philip Thompson

COLT 2017 Further and Stronger Analogy Between Sampling and Optimization: Langevin Monte Carlo and Gradient Descent Arnak Dalalyan

ICML 2013 Learning Heteroscedastic Models by Convex Programming Under Group Sparsity Arnak Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon

NeurIPS 2012 Fused Sparsity and Robust Estimation for Linear Models with Unknown Variance Arnak Dalalyan, Yin Chen

AISTATS 2012 Wilks’ Phenomenon and Penalized Likelihood-Ratio Test for Nonparametric Curve Registration Arnak Dalalyan, Olivier Collier

COLT 2011 Optimal Aggregation of Affine Estimators Joseph Salmon, Arnak Dalalyan

NeurIPS 2009 $l_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry Arnak Dalalyan, Renaud Keriven