Ruda Zhang | Gaussian Process Subspace Regression
Ruda Zhang (Duke University) walks us through "Gaussian Process Subspace Regression for Model Reduction" by Zhang, Mak, and Dunson.
To keep the topic interesting for both the early career & advanced audience we recap key points at a high level so that no one gets lost.
This episode involves a presentation, so you may prefer to watch the YouTube version here: https://youtu.be/IPtqUUG4XcY
Ruda's website: https://ruda.city/
The paper: https://arxiv.org/abs/2107.04668
S00 Ep04 Pt 2 with Allison Meisner: Technical Deep-dive Into Optimizing Bespoke Clinical Models
S00 Ep04 Pt 1 with Allison Meisner: Winning the ASA Student Paper Competition and Research Overview
S00 Ep03 Pt03 with Martin Ho and Greg Maislin: The MDD Idea Exchange and Bayesian p-values
S00 Ep03 Pt2 with Martin Ho and Greg Maislin: Bayesian Methods and Digital Health Initiatives
S00 Ep03 with Martin Ho and Greg Maislin Pt 1: MDD Section Activities
S00 Ep02 with Emma Hughes: An Introduction to the IET Innovation Management Technical Network and Innovation in the NHS
S00 Ep01 Pt2: A Nifty Statistical Approach to Vital-Sign Artefact Detection
S00 Ep01 Pt 1: Gaussian Processes for Identifying the Deteriorating Patient
S00 Ep00 with Glen Wright Colopy: Welcome and hello!
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