2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
NeurIPS 2024spotlight
Uncertainty quantification (UQ) is a crucial but challenging task in many high-dimensional learning problems to increase the confidence of a given predictor. We develop a new data-driven approach for UQ in regression that applies both to classical optimization approaches such as the LASSO as well as…