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06/08/2023
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
We propose a new algorithm for the problem of recovering data that adher...
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12/01/2022
Learning Transition Operators From Sparse Space-Time Samples
We consider the nonlinear inverse problem of learning a transition opera...
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06/03/2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
We propose an iterative algorithm for low-rank matrix completion that ca...
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01/20/2021
Dictionary-Sparse Recovery From Heavy-Tailed Measurements
The recovery of signals that are sparse not in a basis, but rather spars...
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12/22/2020
Iteratively Reweighted Least Squares for ℓ_1-minimization with Global Linear Convergence Rate
Iteratively Reweighted Least Squares (IRLS), whose history goes back mor...
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10/23/2020
On the robustness of noise-blind low-rank recovery from rank-one measurements
We prove new results about the robustness of well-known convex noise-bli...
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09/07/2020
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method
We propose an iterative algorithm for low-rank matrix completion that ca...
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07/16/2019
On the geometry of polytopes generated by heavy-tailed random vectors
We study the geometry of centrally-symmetric random polytopes, generated...
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01/17/2019
The Oracle of DLphi
We present a novel technique based on deep learning and set theory which...
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11/19/2018