A chain rule for the expected suprema of Gaussian processes-Reference-Cited by-同舟云学术

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A chain rule for the expected suprema of Gaussian processes

Published:2016-10 Issue: Volume:650 Page:109-122
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Maurer Andreas

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference21 articles.

1. Learning in Neural Networks: Theoretical Foundations;Anthony,1999

2. A framework for learning predictive structures from multiple tasks and unlabeled data;Ando;J. Mach. Learn. Res.,2005

3. Theoretical models of learning to learn;Baxter,1998

4. A model of inductive bias learning;Baxter;J. Artificial Intelligence Res.,2000

5. Concentration Inequalities;Boucheron,2013

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1. Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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