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06/09/2023
Spectral gap-based deterministic tensor completion
Tensor completion is a core machine learning algorithm used in recommend...
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11/04/2022
Embracing Off-the-Grid Samples
Many empirical studies suggest that samples of continuous-time signals t...
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03/30/2022
Near-Optimal Weighted Matrix Completion
Recent work in the matrix completion literature has shown that prior kno...
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02/09/2022
Graph Spectrum Based Seismic Survey Design
Randomized sampling techniques have become increasingly useful in seismi...
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01/25/2022
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
We propose a novel statistical inference methodology for multiway count ...
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07/09/2016