WebMay 21, 2024 · Abstract: Despite recent advances in its theoretical understanding, there still remains a significant gap in the ability of existing PAC-Bayesian theories on meta-learning to explain performance improvements in the few-shot learning setting, where the number of training examples in the target tasks is severely limited. This gap originates from an … WebTitle: PAC-Bayes Information Bottleneck; Authors: Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng; Abstract summary: Information bottleneck (IB) depicts a trade-off between the accuracy and conciseness of encoded representations. We build a new IB based on the trade-off between the accuracy and complexity of ...

[2109.14509v1] PAC-Bayes Information Bottleneck

http://export.arxiv.org/abs/2109.14509v1 dollar tree ridgway pa

ICLR 2024 十问读 PAC-Bayes Information Bottleneck - 知 …

WebNov 30, 2024 · For instance, connections have been established between the Information Bottleneck and Bayesian Inference, PAC-Bayes Theory, Kolmogorov Complexity, and … WebOur bounds provide an information-theoretic understanding of generalization in the so-called class of variational classifiers, which are regularized by a Kullback-Leibler (KL) divergence term. These results give theoretical grounds for the highly popular KL term in variational inference methods that was already recognized to act effectively as ... WebIn this paper, we propose an algorithm for the efficient approximation of IIW. Then, we build an IIW-based information bottleneck on the trade-off between accuracy and information … dollar tree richmond hwy alexandria va