| 2024 | ICLR | Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited. | Lu Yu, Avetik G. Karagulyan, Arnak S. Dalalyan |
| 2024 | ICML | Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution. | Elen Vardanyan, Sona Hunanyan, Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan |
| 2023 | AISTATS | Matching Map Recovery with an Unknown Number of Outliers. | Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan |
| 2022 | COLT | Risk bounds for aggregated shallow neural networks using Gaussian priors. | Laura Tinsi, Arnak S. Dalalyan |
| 2021 | ALT | Statistical guarantees for generative models without domination. | Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan |
| 2020 | AISTATS | A nonasymptotic law of iterated logarithm for general M-estimators. | Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel |
| 2017 | COLT | Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent. | Arnak S. Dalalyan |
| 2013 | AISTATS | Permutation estimation and minimax rates of identifiability. | Olivier Collier, Arnak S. Dalalyan |
| 2013 | ICML | Learning Heteroscedastic Models by Convex Programming under Group Sparsity. | Arnak S. Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon |
| 2011 | ALT | Competing against the Best Nearest Neighbor Filter in Regression. | Arnak S. Dalalyan, Joseph Salmon |
| 2011 | BMVC | Image denoising with patch based PCA: local versus global. | Charles-Alban Deledalle, Joseph Salmon, Arnak S. Dalalyan |
| 2010 | ECCV | Towards Optimal Naive Bayes Nearest Neighbor. | Rgis Behmo, Paul Marcombes, Arnak S. Dalalyan, Vronique Prinet |
| 2010 | ECCV | Exploiting Loops in the Graph of Trifocal Tensors for Calibrating a Network of Cameras. | Jrme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter F. Sturm |
| 2009 | COLT | Sparse Regression Learning by Aggregation and Langevin Monte-Carlo. | Arnak S. Dalalyan, Alexandre B. Tsybakov |
| 2007 | COLT | Aggregation by Exponential Weighting and Sharp Oracle Inequalities. | Arnak S. Dalalyan, Alexandre B. Tsybakov |