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08/18/2023
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks
Invertible neural networks (INNs) represent an important class of deep n...
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08/10/2021
An Analysis of Stochastic Variance Reduced Gradient for Linear Inverse Problems
Stochastic variance reduced gradient (SVRG) is a popular variance reduct...
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10/21/2020
On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems
Stochastic gradient descent (SGD) is a promising method for solving larg...
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07/06/2019
