On the Generalization Error of Meta Learning for the Gibbs Algorithm-Reference-Cited by-同舟云学术

On the Generalization Error of Meta Learning for the Gibbs Algorithm

Published:2023-06-25 Issue: Volume: Page:
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Container-title:2023 IEEE International Symposium on Information Theory (ISIT)
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Author:

Bu Yuheng¹,Tetali Harsha Vardhan¹,Aminian Gholamali²,Rodrigues Miguel³,Wornell Gregory⁴

Affiliation:

1. University of Flroida

2. The Alan Turing Institute

3. University College London

4. Massachusetts Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206566.pdf?arnumber=10206566

Reference39 articles.

1. PACOH: Bayes-optimal meta-learning with PAC-guarantees;rothfuss;International Conference on Machine Learning,2021

2. How does pseudo-labeling affect the generalization error of the semi-supervised gibbs algorithm?;he;International Conference on Artificial Intelligence and Statistics,2023

3. PAC-Bayes bounds for meta-learning with data-dependent prior;liu,2021

4. Characterizing and understanding the generalization error of transfer learning with Gibbs algorithm;bu;International Conference on Artificial Intelligence and Statistics,2022

5. How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage

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1. Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm;IEEE Transactions on Information Theory;2024-01

2. On the Generalization Error of Meta Learning for the Gibbs Algorithm;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25