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Gaussian Mixture Models in Hilbert Spaces via Kernel Methods
A kernel-based Gaussian mixture model for Hilbert-space data uses mean embeddings to cluster infinite-dimensional objects with theoretical guarantees and scalable estimation.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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