Random Projections and Dimension Reduction. - Rishi Advani; Madison Crim; Sean O'Hagan (CoRR, 2020)

Efficient Algorithms for Constructing an Interpolative Decomposition. - Rishi Advani; Sean O'Hagan (CoRR, 2021)

Measurement in the Age of LLMs: An Application to Ideological Scaling. - Sean O'Hagan; Aaron Schein (CoRR, 2023)

Tree Bandits for Generative Bayes. - Sean O'Hagan; Jungeum Kim; Veronika Rocková (CoRR, 2024)

Adaptive Uncertainty Quantification for Generative AI. - Jungeum Kim; Sean O'Hagan; Veronika Rocková (CoRR, 2024)

AI-Powered Bayesian Inference. - Veronika Rocková; Sean O'Hagan (CoRR, 2025)