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Hannah Laus

1 accepted papers

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…