
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
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Keith O’Rourke | The Logic of Statistics

Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks

Scott Cunningham | Causal Inference (The Mixtape)

Eric Daza | Important Ideas in Causal Inference
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