@inproceedings{6e3b42909c1a4318b13b08c4755c0cd3,
title = "Stability of transductive regression algorithms",
abstract = "This paper uses the notion of algorithmic stability to derive novel generalization bounds for several families of transductive regression algorithms, both by using convexity and closed-form solutions. Our analysis helps compare the stability of these algorithms. It suggests that several existing algorithms might not be stable but prescribes a technique to make them stable. It also reports the results of experiments with local transductive regression demonstrating the benefit of our stability bounds for model selection, in particular for determining the radius of the local neighborhood used by the algorithm.",
author = "Corinna Cortes and Mehryar Mohri and Dmitry Pechyony and Ashish Rastogi",
year = "2008",
doi = "10.1145/1390156.1390179",
language = "English (US)",
isbn = "9781605582054",
series = "Proceedings of the 25th International Conference on Machine Learning",
publisher = "Association for Computing Machinery (ACM)",
pages = "176--183",
booktitle = "Proceedings of the 25th International Conference on Machine Learning",
address = "United States",
note = "25th International Conference on Machine Learning ; Conference date: 05-07-2008 Through 09-07-2008",
}