conftrace_

matrix denoising

7 papers

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Co-occurring keywords · papers mentioning both

low-rank matrix (2) matrix completion (2) approximate message passing (2) entry-wise estimation (1) nuclear norm (1) random matrix theory (1) latent variable model (1) spectral method (1) low-rank regression (1) test error (1)

Papers

Bayes-optimal learning of an extensive-width neural network from quadratically many samples NeurIPS 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Adaptive Reduced Rank Regression NeurIPS 2020 Robust Synthetic Control JMLR 2018 On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NeurIPS 2017 Optimal Shrinkage of Singular Values Under Random Data Contamination NeurIPS 2017 Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NeurIPS 2013