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Sequential operator learning under dependent data

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.24426v1 Announce Type: new Abstract: Learning operators from sequentially collected data arises in adaptive experimental design, Bayesian optimization, and dynamical-system modelling, where observations may be dependent, and future inputs or sensing operators may depend on preceding data…

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  1. 2026-08-26 04:00 · arXiv stat.ML
    Sequential operator learning under dependent data

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