ML Anthology

Linderman, Randolph

4 publications

TMLR 2026 A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection Randolph Linderman, Noah Cowan, Yiran Chen, Scott Linderman
CoLLAs 2023 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen
WACV 2023 Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li
NeurIPSW 2022 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen