Dino Sejdinovic
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sejdino.bsky.social
Dino Sejdinovic
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide.

https://sejdino.github.io/
Reposted by Dino Sejdinovic
We've written a monograph on Gaussian processes and reproducing kernel methods (with @philipphennig.bsky.social, @sejdino.bsky.social and Bharath Sriperumbudur).

arxiv.org/abs/2506.17366
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel Hilb...
arxiv.org
June 24, 2025 at 8:35 AM
Reposted by Dino Sejdinovic
Credal Two-Sample Tests of Epistemic Uncertainty
at #AISTATS25

Compare credal sets: convex sets of prob measures where elements capture aleatoric uncertainty; set represents epistemic uncertainty.

arxiv.org/abs/2410.12921

@slchau.bsky.social Schrab @sejdino.bsky.social @krikamol.bsky.social
May 2, 2025 at 11:40 PM
Postdoc opportunities:

careers.adelaide.edu.au/cw/en/job/51...

Join us in building a new research centre in Adelaide, Australia, dedicated to addressing fundamental challenges in trustworthy machine learning and responsible AI.
Come and celebrate our 150th year. Explore our events, our history, and the foundation we’ve built for the future.
careers.adelaide.edu.au
December 11, 2024 at 11:13 AM
Good to be here rather than there.
November 15, 2024 at 1:01 PM