Siu Lun Chau
@Chau9991
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Assistant Professor in Statistical Machine Learning @ CCDS, NTU Singapore. Previously @CISPA, @oxcsml, @AmazonUK and @MPI_IS.
Singapore
Joined July 2020
An improved version of my joint work with @sabinasloman and @samikaski on Statistical Learning Theory in the presence of severe Epistemic Uncertainty is on the ArXiV now! Let un know what you think :)
In the presence of noisy data, the learner faces epistemic uncertainty (EU) at test time which, in many cases, cannot be resolved on the basis of training data alone. What to do then? @sabinasloman, @samikaski and I tried to answer this in https://t.co/hWSeTmKcAD 1/3
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Missed it? The video of the SIPTA seminar of Michele Caprio is now available on our youtube channel! Check it out at https://t.co/ICsp0CYj0E
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Ending the tweet with the wisdom from our friend Johnny (taken from the London International Award: Chinese Creativity), which captures the spirit of our workshop particularly well.
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🤝 Organising Committee: @mic_caprio, Siu Lun Chau, Ruobin Gong, Shireen Kudukkil Manchingal, @krikamol, Bob Williamson We warmly invite submissions and would be grateful if you help spread the word! #EurIPS2025 #MachineLearning #EpistemicAI #UQ
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🎤 Keynote Speakers: Prof. Fabio Cuzzolin (Oxford Brookes) Prof. Eyke Hüllermeier (LMU Munich) Prof. Ryan Martin (NC State) Prof. Fanny Yang (ETH Zurich) 👥 Panelists: Prof. Jason Konek & Prof. Gert de Cooman
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📝 Submission details: - Non-archival papers (4–6 pages, excl. refs/appendices) - Deadline: Oct 17, 2025 We welcome both theoretical work & applications on reasoning and decision-making under epistemic uncertainty.
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📢 Call for Papers – EIML@EurIPS2025 🎓 The 1st Workshop on Epistemic Intelligence in Machine Learning will be held at EurIPS 2025, Copenhagen this December !! 🌐 https://t.co/ObOhmeTsmK
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Good news to share: I get married in a few days to the wonderful @e_quintav, and my last paper from the PhD (first submitted in 2020, joint with the late @sayanmukher) is now accepted! https://t.co/P6wABYEuy3 A short summary follows. 1/6
arxiv.org
Given a finite admixture model whose components and weights are unknown, let the number of identifiable components be a function of the amount of data sampled from a known distribution on the unit...
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The first seminar in the Rational Intelligence Seminar Series (RISS) by Sebastian Zezulka is now available on YouTube. Check it out and don't forget to subscribe to our YouTube channel for future seminars. More info: https://t.co/x8Pl3FWKsy
https://t.co/PsxuPmJ20U
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Join us at the Rational Intelligence Seminar Series (RISS) to engage in discussions at the seminar by Yixin Wang from the University of Michigan. - Date: July 30, 2025 - Time: 14:30 CET More info at https://t.co/x8Pl3FWKsy
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🙏 Honoured to receive the IJAR Young Researcher Award 2025 at #ISIPTA2025! Grateful for the recognition of our efforts to bridge the mathematical rigour of imprecise probability with ML’s computational challenges. Excited to keep pushing forward! 💪
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🚨 PhD opportunity! I’m recruiting a PhD student with a strong background in math/stats/CS to join my group at NTU Singapore 🇸🇬 Start: Jan or Aug 2026 Topic: Foundations of Epistemic Uncertainty in ML 🧠🔍 📌 Details: https://t.co/k0lCzXNfAt RT appreciated!
chau999.github.io
Siu Lun Chau’s academic website. He is an Assistant Professor at the College of Computing & Data Science, NTU Singapore.
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🚨 Exciting news! Our new paper on “nested expectation with kernel quadrature” just got accepted to #ICML2025! 🎉 Sadly, I won’t be able to attend due to visa issues 😔 — but my amazing collaborator Masha Naslidnyk will be presenting on our behalf. Don’t miss it if you’re there!
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We've written a monograph on Gaussian processes and reproducing kernel methods. https://t.co/lfU9q7yiEg
arxiv.org
This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel...
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I’m hiring multiple PhD students and one postdoc at NTU Singapore, starting in Spring or Fall 2026, to push the frontiers of robot planning, learning, and embodied AI. Details are available here: https://t.co/LPNk6QfbqZ Thank you for your support in sharing this opportunity!
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Thrilled to launch the Rational Intelligence Seminar Series (RISS), starting June 18, 2025! Join us to engage in lively discussions in the first session, “Prediction, Potential Outcomes, and Performativity,” by Sebastian Zezulka. https://t.co/x8Pl3FWKsy
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🚀Are you looking for an axiomatic, error-free, and VERY fast method for feature attribution in kernel methods? Check out PKEX-Shapley: Product-Kernel Exact Shapley algorithm. Computing Shapley now goes from O(2^d) to just O(d^2). ⚡️ Joint work with @MajidMo80592063 @krikamol
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🙋Excited to be speaking at NUS DSDS tomorrow about our recent work "Integral IMPRECISE Probability Metrics"! If you are curious about what imprecise probabilities are, and how they are (gradually) changing the way we (at least my) view (epistemic) uncertainty in ML? Join us!
Join us for the seminar by @Chau9991 at NUS DSDS tomorrow at 2pm. https://t.co/CCTwL7myHq
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