| Above the Nyquist rate, modulo folding does not hurt E Romanov, O Ordentlich IEEE Signal Processing Letters 26 (8), 1167-1171, 2019 | 74 | 2019 |
| ScreeNOT: Exact MSE-optimal singular value thresholding in correlated noise D Donoho, M Gavish, E Romanov The Annals of Statistics 51 (1), 122-148, 2023 | 47 | 2023 |
| Optimal spectral shrinkage and PCA with heteroscedastic noise W Leeb, E Romanov IEEE Transactions on Information Theory, 2021 | 36 | 2021 |
| Multi-reference alignment in high dimensions: sample complexity and phase transition E Romanov, T Bendory, O Ordentlich SIAM Journal on Mathematics of Data Science 3 (2), 494-523, 2021 | 27 | 2021 |
| Blind unwrapping of modulo reduced Gaussian vectors: Recovering MSBs from LSBs E Romanov, O Ordentlich IEEE Transactions on Information Theory, 2021 | 17 | 2021 |
| Near-optimal matrix recovery from random linear measurements E Romanov, M Gavish Proceedings of the National Academy of Sciences 115 (28), 7200-7205, 2018 | 16 | 2018 |
| Matrix denoising with partial noise statistics: optimal singular value shrinkage of spiked F-matrices M Gavish, W Leeb, E Romanov Information and Inference: A Journal of the IMA 12 (3), iaad028, 2023 | 9 | 2023 |
| The Noise-sensitivity phase transition in spectral group synchronization over compact groups E Romanov, M Gavish Applied and Computational Harmonic Analysis 49 (3), 935-970, 2020 | 9 | 2020 |
| On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel E Romanov, O Ordentlich Entropy 23 (5), 605, 2021 | 8 | 2021 |
| The high-dimensional asymptotics of principal component regression A Green, E Romanov The Annals of Statistics 53 (4), 1697-1727, 2025 | 4 | 2025 |
| On the Noise Sensitivity of the Randomized SVD E Romanov IEEE Transactions on Information Theory, 2024 | 4 | 2024 |
| On the Role of Channel Capacity in Learning Gaussian Mixture Models E Romanov, T Bendory, O Ordentlich Conference on Learning Theory, 4110-4159, 2022 | 4 | 2022 |
| Spiked Covariance Estimation from Modulo-Reduced Measurements E Romanov, O Ordentlich International Conference on Artificial Intelligence and Statistics, 1298-1320, 2022 | 4 | 2022 |
| Tyler’s and Maronna’s M-estimators: Non-asymptotic concentration results E Romanov, G Kur, B Nadler Journal of Multivariate Analysis 196, 105184, 2023 | 3 | 2023 |
| Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing E Romanov, F Zhang, M Pilanci International Conference on Learning Representations (ICLR), 2025 | 1 | 2025 |
| Sparse PCA: Phase Transitions in the Critical Sparsity Regime MJ Feldman, T Misiakiewicz, E Romanov arXiv e-prints, arXiv: 2412.21038, 2024 | | 2024 |
