10 citations · 24 across the 6 of their papers we have counts for
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cs.LG2021★ 2 cited
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Yi-Shan Wu, Andrés R. Masegosa, Stephan S. Lorenzen +2
We present a new second-order oracle bound for the expected risk of a weighted majority vote. The bound is based on a novel parametric form of the Chebyshev- Cantelli inequality (a…
cs.LG2021★ 2 cited
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
The information bottleneck (IB) principle has been suggested as a way to analyze deep neural networks. The learning dynamics are studied by inspecting the mutual information (MI) b…