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Dino Sejdinovic

@sejdino.bsky.social

3.6K followers 511 following 6 posts

Professor of Statistical Machine Learning at the University of Adelaide. sejdino.github.io

Posts Replies Media

Reposted by Dino Sejdinovic

Math4ML @math4ml.bsky.social · 26/08/2026

We welcome Prof. Ding-Xuan Zhou (University of Sydney) to speak on “Structures in Deep Neural Networks”, covering mathematical analysis of CNNs, transformers, and related structured deep neural networks. 📅 7 Sept 2026, 3pm AEST 💻 Online via Zoom 🔗 Register: adelaide.zoom.us/webinar/regi...

adelaide.zoom.us

Welcome! You are invited to join a webinar: Math4ML Inaugural Seminar: Prof Ding-Xuan Zhou. After registering, you will receive a confirmation email about joining the webinar.

The AustMS Special Interest Group in Mathematics for Machine Learning (Math4ML) is delighted to announce its inaugural seminar. We are excited to welcome Professor Ding-Xuan Zhou from the School of Ma...

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Reposted by Dino Sejdinovic

Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 24/06/2025

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

arxiv.org

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...

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Reposted by Dino Sejdinovic

Arthur Gretton @arthurgretton.bsky.social · 03/05/2025

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

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Dino Sejdinovic @sejdino.bsky.social · 11/12/2024

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.

careers.adelaide.edu.au

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

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Dino Sejdinovic @sejdino.bsky.social · 15/11/2024

Good to be here rather than there.

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