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New Doeblin Curves Offer Finer-Grained Contraction Guarantees

Researchers have introduced the concept of a "Doeblin curve" to provide a more detailed characterization of multi-way contraction behavior in Markov kernels. This new approach offers non-vacuous contraction guarantees even for channels where the traditional Doeblin coefficient is zero. The Doeblin curve quantifies contraction across collections of input distributions at specific levels of divergence and power. The findings have applications in areas such as noisy iterative optimization, reliable computation with noisy circuits, and differential privacy for online iterative algorithms. AI

IMPACT Enhances theoretical understanding of information contraction, potentially improving algorithms in optimization and privacy.

RANK_REASON The cluster contains an academic paper detailing a new theoretical concept and its mathematical properties.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Doeblin Curves Offer Finer-Grained Contraction Guarantees

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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Dongmin Lee, William Lu, Anuran Makur, Japneet Singh ·

    Doeblin Curves

    arXiv:2606.19859v1 Announce Type: cross Abstract: Recent research on Doeblin coefficients has shed light on their usefulness as a multi-way generalization of the Dobrushin contraction coefficient for TV distance, in a separate vein from their classic role in the theory of Markov …

  2. arXiv cs.LG TIER_1 English(EN) · Japneet Singh ·

    Doeblin Curves

    Recent research on Doeblin coefficients has shed light on their usefulness as a multi-way generalization of the Dobrushin contraction coefficient for TV distance, in a separate vein from their classic role in the theory of Markov chain ergodicity. However, strong conditions, such…