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Stability (in learning) – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 3 min read

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http://www.offconvex.org/2016/03/14/stability/?ref=danmackinlay.name

offconvex.org

http://machinelearning.wustl.edu/mlpapers/paper_files/jmlr10_agarwal09a.pdf

machinelearning.wustl.edu

http://arxiv.org/abs/1511.02513

arxiv.org

http://papers.nips.cc/paper/1854-algorithmic-stability-and-generalization-performance

papers.nips.cc

http://www.jmlr.org/papers/v2/bousquet02a.html

jmlr.org

https://doi.org/10.21105/joss.06156

doi.org

https://doi.org/10.1109/CDC.2006.377078

doi.org

http://arxiv.org/abs/1412.5896

arxiv.org

http://arxiv.org/abs/1609.05191

arxiv.org

http://arxiv.org/abs/1301.0579

arxiv.org

http://papers.nips.cc/paper/3966-stability-approach-to-regularization-selection-stars-for-high-dimensional-graphical-models.pdf

papers.nips.cc

https://doi.org/10.1111/j.1467-9868.2010.00740.x

doi.org

https://doi.org/10.1109/TPAMI.2011.177

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https://doi.org/10.3150/13-BEJSP14

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https://arxiv.org/abs/1611.03530 Who cites this page

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Stability (in learning) – The Dan MacKinlay stable of variably-well-consider’d enterprises

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