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#heavy-tailed

Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space

arXiv cs.LG · 2026-07-03 Cached

This paper frames model merging as probabilistic inference under a product-of-experts scenario, showing that existing methods are special cases and proposing a heavy-tailed Cauchy expert design that better captures real residual behavior, achieving significant improvements over state-of-the-art baselines.

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#heavy-tailed

TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification

arXiv cs.LG · 2026-05-19 Cached

TailedTS is a large-scale benchmark dataset derived from Wikipedia hourly page views, designed for evaluating time series models under heavy-tailed and non-Gaussian conditions. It includes a periodicity quantification framework and standardized prediction benchmarks using robust loss functions.

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