On Riemannian Latent Variable Models and Pullback Metrics

Noémie Jaquier · KTH Royal Institute of Technology

Computation-Aware Kalman Filtering and Smoothing

Marvin Pförtner · University of Tübingen

On Modernising Sparse Gaussian Processes

Yingzhen Li · Imperial College London

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Sebastian Ament · Meta

Exploring phenotypes and genotypes with a robot scientist

Paul Jensen · University of Michigan

Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index

Qian Xie · Cornell University

Accurate predictions on small data (and time series) with the tabular foundation model TabPFN

Frank Hutter · University of Freiburg

Text-to-Text Regression

Xingyou (Richard) Song · Google DeepMind

Black-box Optimization for Humans with Unknown Preferences

Peter I. Frazier · Cornell University

Uncertain Surface Reconstruction

Silvia Sellán · University of Toronto