Dino Sejdinovic

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...

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

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

Responsible AI Research Centre (RAIR) will be based at the Australian Institute for Machine Learning (@aimlofficial.bsky.social) in collaboration with CSIRO (Australia's national science agency) and will have 4 themes: attribution and integrity, physical interaction, safety and diversity, causal AI.

Come and celebrate our 150th year. Explore our events, our history, and the foundation we’ve built for the future.

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.

Australian-based ELLIS Fellow here 👋 (yes, like in the Eurovision 😅)

Thanks, very useful! Can I please be added?

Great list, thanks! May I also join?

Good to be here rather than there.