Above the Nyquist rate, modulo folding does not hurt E Romanov, O Ordentlich IEEE Signal Processing Letters 26 (8), 1167-1171, 2019 | 43 | 2019 |
Optimal spectral shrinkage and PCA with heteroscedastic noise W Leeb, E Romanov IEEE Transactions on Information Theory, 2021 | 27 | 2021 |
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 | 26 | 2023 |
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 | 20 | 2021 |
Blind unwrapping of modulo reduced Gaussian vectors: Recovering MSBs from LSBs E Romanov, O Ordentlich IEEE Transactions on Information Theory, 2021 | 12 | 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 | 11 | 2018 |
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 | 10 | 2020 |
On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel E Romanov, O Ordentlich Entropy 23 (5), 605, 2021 | 7 | 2021 |
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 | 6 | 2023 |
Tyler’s and Maronna’s M-estimators: Non-asymptotic concentration results E Romanov, G Kur, B Nadler Journal of Multivariate Analysis 196, 105184, 2023 | 2 | 2023 |
On the Role of Channel Capacity in Learning Gaussian Mixture Models E Romanov, T Bendory, O Ordentlich Conference on Learning Theory, 4110-4159, 2022 | 2 | 2022 |
Spiked Covariance Estimation from Modulo-Reduced Measurements E Romanov, O Ordentlich International Conference on Artificial Intelligence and Statistics, 1298-1320, 2022 | 2 | 2022 |
The High-Dimensional Asymptotics of Principal Component Regression A Green, E Romanov arXiv preprint arXiv:2405.11676, 2024 | | 2024 |
On the Noise Sensitivity of the Randomized SVD E Romanov arXiv preprint arXiv:2305.17435, 2023 | | 2023 |