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https://github.com/wmkouw/ctrl-iwxval

Controlled importance-weighted cross-validation
https://github.com/wmkouw/ctrl-iwxval

control-variates covariate-shift cross-validation regularization sampling-variance

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Controlled importance-weighted cross-validation

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# Controlled importance-weighted cross-validation

This repository contains experiments and visualizations accompanying the paper:

"Robust importance-weighted cross-validation under sample selection bias",

published in the proceedings of the International Workshop on Machine Learning for Signal Processing, 2019 (pdf/[preprint](https://arxiv.org/abs/1710.06514)).

## Contents:
- __experiment-1DG__ contains visualizations throughout the paper.
- __experiment-2DG__ contains experiments on a 2-dimensional Gaussians setting.
- __experiment-ozone__ contains experiments on the UCI Ozone level detection task.
- __util__ contains utility functions and algorithms.

## Contact:

Questions and comments can be submitted to the [issues tracker](https://github.com/wmkouw/ctrl-iwxval/issues).