We meet on Tuesday 15:00-16:30pm.
- Feel free to add papers to the paper stack with a PR.
PPI++: Efficient Prediction-Powered Inference
Angelopoulos, et al, 2024
[paper]
Learning the natural history of human disease with generative transformers
Shmatko, et al, 2025
[paper]
Progression subtypes in Parkinson’s disease identified by a data-driven multi cohort analysis
Hähnel, et al, 2024
[paper]
Prediction-Powered Inference
Angelopoulos, et al, 2023
[paper]
Conformal Prediction Sets Improve Human Decision Making
Cresswell, et al, 2017
[paper]
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Distribution-Free Predictive Inference For Regression Section 5.2 Locally-Weighted Conformal Inference only
Lei, et al, 2017
[paper] -
Conformal Prediction as Bayesian Quadrature
Snell, et al, 2025
[paper]
A Gentle Introduction to Conformal Prediction and
Distribution-Free Uncertainty Quantification [Chapter 4, 5, 6]
Angelopoulos et al, arXiv v6, 2022
[paper]
A Gentle Introduction to Conformal Prediction and
Distribution-Free Uncertainty Quantification [Chapter 1, 2, 3]
Angelopoulos et al, arXiv v6, 2022
[paper]
E-Values Expand the Scope of Conformal Prediction
Gauthier et al, arXiv, 2025
[paper]
Conformal prediction beyond exchangeability
Barber et al, Project Euclid, 2023
[paper]
Conformal Prediction for Zero-Shot Models
Silva-Rodríguez et al, CVPR, 2024
[paper]
Conformal Prediction Under Covariate Shift
Tibshirani, NeurIPS, 2019
[paper]
A Primer on Causal and Statistical Dataset Biases for Fair and Robust Image Analysis
Jones and Glocker, 2025
[paper]
A Shift in Perspective on Causality in Domain Generalization
Machlanski et al, UKAIRS, 2025
[paper]