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08/04/2022
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices
It has been observed that the performances of many high-dimensional esti...
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04/15/2022
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
Tensor PCA is a stylized statistical inference problem introduced by Mon...
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08/24/2020
Universality of Linearized Message Passing for Phase Retrieval with Structured Sensing Matrices
In the phase retrieval problem one seeks to recover an unknown n dimensi...
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08/10/2020
Statistical Query Lower Bounds for Tensor PCA
In the Tensor PCA problem introduced by Richard and Montanari (2014), on...
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10/25/2019
Information Theoretic Limits for Phase Retrieval with Subsampled Haar Sensing Matrices
We study information theoretic limits of recovering an unknown n dimensi...
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03/07/2019
Rigorous Analysis of Spectral Methods for Random Orthogonal Matrices
Phase retrieval refers to algorithmic methods for recovering a signal fr...
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03/06/2019