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11/11/2022
SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics
Predicting the evolution of diseases is challenging, especially when the...
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04/12/2022
SRMD: Sparse Random Mode Decomposition
Signal decomposition and multiscale signal analysis provide many useful ...
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02/06/2022
HARFE: Hard-Ridge Random Feature Expansion
We propose a random feature model for approximating high-dimensional spa...
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08/24/2021
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
In this paper, we propose an adaptive group Lasso deep neural network fo...
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03/04/2021
Function Approximation via Sparse Random Features
Random feature methods have been successful in various machine learning ...
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11/25/2018
Recovery guarantees for polynomial approximation from dependent data with outliers
Learning non-linear systems from noisy, limited, and/or dependent data i...
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05/10/2018
