Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer

Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer

Item #:: 079017-2342
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DOI: https://doi.org/10.52202/079017-2342
Author(s): Anqi Mao, Mehryar Mohri, Yutao Zhong
Pages: 73638-73671 (34 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 37
Date/Location: Held 10-15 December 2024, Vancouver, Canada.
Series: Advances in Neural Information Processing Systems 37
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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DOI: https://doi.org/10.52202/079017-2342
Author(s): Anqi Mao, Mehryar Mohri, Yutao Zhong
Pages: 73638-73671 (34 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 37
Date/Location: Held 10-15 December 2024, Vancouver, Canada.
Series: Advances in Neural Information Processing Systems 37
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)