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09/09/2023
Approximation Results for Gradient Descent trained Neural Networks
The paper contains approximation guarantees for neural networks that are...
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02/06/2023
Learning Trees of ℓ_0-Minimization Problems
The problem of computing minimally sparse solutions of under-determined ...
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09/17/2022
Approximation results for Gradient Descent trained Shallow Neural Networks in 1d
Two aspects of neural networks that have been extensively studied in the...
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01/20/2021
Non-Convex Compressed Sensing with Training Data
Efficient algorithms for the sparse solution of under-determined linear ...
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07/27/2020
Universality of Gradient Descent Neural Network Training
It has been observed that design choices of neural networks are often cr...
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02/03/2020