ML Anthology

Liu, Jeremiah

5 publications

NeurIPS 2022 Towards a Unified Framework for Uncertainty-Aware Nonlinear Variable Selection with Theoretical Guarantees Wenying Deng, Beau Coker, Rajarshi Mukherjee, Jeremiah Liu, Brent Coull
AISTATS 2021 Variable Selection with Rigorous Uncertainty Quantification Using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-Von Mises Phenomenon Jeremiah Liu
NeurIPS 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax Weiss, Balaji Lakshminarayanan
NeurIPS 2019 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning Jeremiah Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull
NeurIPS 2017 Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes Jeremiah Liu, Brent Coull