Siu Lun Chau retweeted
📢 Join us at the 2nd EIML Workshop (@icmlconf, Seoul) to discuss epistemic intelligence for generative AI, AI safety, alignment, and continual learning in open-world environments.
📜 Accepted papers: tinyurl.com/3v869cp2
📅 July 10th at Room E5-E6
Siu Lun Chau retweeted
Great news!
Our 2nd Workshop on Epistemic Intelligence in Machine Learning (EIML) will happen again and will co-locate with @icmlconf in Seoul, South Korea 🇰🇷.
🔗sites.google.com/view/eimlic…
Stay tuned for an update soon.
Siu Lun Chau retweeted
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 arxiv.org/abs/2505.23496 1/3
Siu Lun Chau retweeted
Missed it? The video of the SIPTA seminar of Michele Caprio is now available on our youtube channel! Check it out at youtu.be/hLdCKytLbhY
📢 Call for Papers – EIML@EurIPS2025 🎓
The 1st Workshop on Epistemic Intelligence in Machine Learning will be held at EurIPS 2025, Copenhagen this December !!
🌐 sites.google.com/view/eiml-e…
🤝 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
1
2
275
Siu Lun Chau retweeted
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! arxiv.org/abs/2002.08409 A short summary follows. 1/6
Siu Lun Chau retweeted
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: ri-lab.org/riss/
youtu.be/YhCsBKmbpM0?si=xYmX…
Siu Lun Chau retweeted
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 ri-lab.org/riss/
🙏 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! 💪
🚨 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: chau999.github.io/group/
RT appreciated!
Siu Lun Chau retweeted
🚨 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!
Siu Lun Chau retweeted
We've written a monograph on Gaussian processes and reproducing kernel methods.
arxiv.org/abs/2506.17366
Siu Lun Chau retweeted
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: yoonchangsung.com/opportunit…
Thank you for your support in sharing this opportunity!
#PhDOpportunity #Robotics #NTUsg
Siu Lun Chau retweeted
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.
ri-lab.org/riss/
🚀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
Paper is here arxiv.org/pdf/2505.16516
2
173















