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News/Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption
arxiv
PublishedJune 18, 2026 at 4:00 AM
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Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption

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arXiv:2606.18778v1 Announce Type: new Abstract: Online learning in non-stationary streams is often formulated as tracking a point estimate, but many applications require predicting the full data-generating distribution. We study online distributional prediction under drift and adversarial corruption

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