lars
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In this work, we consider learning sparse models in large scale setting, where the number of samples and the feature dimension can grow as large as millions or billions. Two immediate issues occur under such challenging scenarios: (i) com- putational cost; (ii) memory overhead.
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Jun 18, 2017 - C++
a light-weight implementation of LARS (least angle regression)
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Jul 1, 2017 - TeX
R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...
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Aug 28, 2017 - R
PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)
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May 11, 2019 - Python
Large Batch Training of Convolutional Networks with Layer-wise Adaptive Rate Scaling
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Sep 22, 2020 - Python
U statistici , regresija najmanjeg ugla (LARS) algoritam je za prilagođavanje modela linearne regresije visokodimenzionalnim podacima, koji je razvio Bradley Efron , Trevor Hastie , Iain Johnstone i Robert Tibshirani .
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Jul 5, 2021 - Jupyter Notebook
Implementation of Relaxed Lasso Algorithm for Linear Regression.
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Nov 15, 2021 - Python
Implementation of Relaxed Lasso Algorithm for Linear Regression.
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Jan 19, 2022 - Python
Code of the least angle regression solution path by hand for an example( p=5). Then we compute the solution path for a dataset and compare it with the LASSO path.
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Feb 7, 2022 - R
Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)
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May 5, 2022 - Jupyter Notebook
This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).
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Apr 29, 2023 - Python
Machine Learning & Python in Finance
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Dec 15, 2023 - Jupyter Notebook
Funciones utilles para PyTorch.
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Feb 29, 2024 - Python
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