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Geoff Pleiss
Research
Overview
Uncertainty Quantification
Bayesian Optimization
"Reliable" Deep Learning
Scalable Gaussian Processes via Numerical Methods
Spatiotemporal Modeling
Probabilistic Modeling
Computer Vision
Teaching
(2025) STAT 547U (Topics in Deep Learning Theory)
(2024) STAT 406 (Methods for Statistical Learning)
(2023) STAT 520P (Bayesian Optimization)
STAT 548 (PhD Qualifying Course)
Open Source
GPyTorch
LinearOperator
Blog
Neural Network Calibration
Area Under the Margin (AUM)
CV
Bio
Google Scholar
Github
STAT547U: Topics in Deep Learning Theory
Jan-Feb 2025
More info coming soon.