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Wasserstein Contraction of Coordinate Ascent Variational Inference

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arXiv:2605. 30253v1 Announce Type: new Abstract: We study the contraction in Wasserstein distance of the coordinate ascent variational inference algorithm.

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Authors: Rocco Caprio, Adrien Corenflos, Sam Power
Released: 2026-05-29 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Wasserstein Contraction of Coordinate Ascent Variational Inference overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", experiment "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: under, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2605.30253

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