Published June 13, 2018
| Version 0.1
Software
Open
mirca/lad: 0.1
Creators
Description
Robust linear regression using Least Absolute Deviations with L1 regularization in Tensorflow. The optimization problem is solved by applying the Majorization-Minimization (MM) framework, which generates a sequence of estimators for the linear weights which converges to the maximum a posteriori estimator.
Files
mirca/lad-0.1.zip
Files
(123.2 kB)
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md5:522a5a4183a9b17bdab2575e1ab395e3
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Additional details
Related works
- Is supplement to
- https://github.com/mirca/lad/tree/0.1 (URL)