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04/28/2021
Optimal Stopping via Randomized Neural Networks
This paper presents new machine learning approaches to approximate the s...
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06/08/2020
Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN
Continuous stochastic processes are widely used to model time series tha...
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04/28/2020
Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices
We introduce Denise, a deep learning based algorithm for decomposing pos...
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04/27/2020
Estimating Full Lipschitz Constants of Deep Neural Networks
We estimate the Lipschitz constants of the gradient of a deep neural net...
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08/01/2019
