On 21. Jan 2024, at 20:14, Siu Lun Chau <siu-lun.chau@cispa.de> wrote:

Dear all,

For this week’s ML reading group, we have Dr. Siu Lun Chau presenting the paper titled Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations. It’s an interesting work providing an alternative way of quantifying uncertainty with no distributional assumption on the noise term (unlike standard GPs).

This time the meeting will take place on Wednesday 2:30pm at CISPA building room 0.07. There should be cookies and some drinks this time.

Here’s the zoom link for those who cannot attend physically: https://cs-uni-saarland-de.zoom.us/j/91937148099?pwd=R1BhUVVVMXJKRWU1OXI5alBjWERBdz09

Best regards,

Siu Lun Chau

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Siu Lun (Alan) Chau, Ph.D (Oxon) | Postdoctoral Researcher
CISPA - Helmholtz Center for Information Security
Stuhlsatzenhaus 5, 66123 Saarbrücken, 
+44 7415137484 | siu-lun.chau@cispa.de | https://chau999.github.io/