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06/29/2023
Solving Kernel Ridge Regression with Gradient-Based Optimization Methods
Kernel ridge regression, KRR, is a non-linear generalization of linear r...
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05/24/2022
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control
Most machine learning methods depend on the tuning of hyper-parameters. ...
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02/04/2022
Elastic Gradient Descent and Elastic Gradient Flow: LARS Like Algorithms Approximating the Solution Paths of the Elastic Net
The elastic net combines lasso and ridge regression to fuse the sparsity...
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02/22/2021
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
High-dimensional data sets are often analyzed and explored via the const...
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12/18/2020