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 Perturbationshttps://arxiv.org/abs/1812.09632. 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=R1BhUVVVMXJKRWU1OXI5alB...
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/