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Statistical learning theory for dependent data – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 5 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 12 October 2026).

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http://www.cs.nyu.edu/~mohri/talks/NIPSTutorial2016.pdf?ref=danmackinlay.name

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http://arxiv.org/abs/1802.09064

arxiv.org

http://papers.nips.cc/paper/6485-structured-prediction-theory-based-on-factor-graph-complexity.pdf

papers.nips.cc

http://arxiv.org/abs/1706.07180

arxiv.org

http://arxiv.org/abs/1609.05191

arxiv.org

http://link.springer.com/chapter/10.1007/11894841_24

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https://doi.org/10.1016/j.tcs.2008.06.037

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http://arxiv.org/abs/1103.0942

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http://papers.nips.cc/paper/3489-rademacher-complexity-bounds-for-non-iid-processes

papers.nips.cc

https://doi.org/10.1007/s00440-013-0545-5

doi.org

https://proceedings.neurips.cc//paper_files/paper/2020/hash/3e91970f771a2c473ae36b60d1146068-Abstract.html

proceedings.neurips.cc

http://papers.nips.cc/paper/5102-predictive-pac-learning-and-process-decompositions

papers.nips.cc

http://papers.nips.cc/paper/3736-fast-learning-from-non-iid-observations

papers.nips.cc

http://arxiv.org/abs/1602.05125

arxiv.org

http://arxiv.org/abs/1909.02330

arxiv.org

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Statistical learning theory for dependent data – The Dan MacKinlay stable of variably-well-consider’d enterprises

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