71 citations · 229 across the 18 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2022★ 1 cited
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Wenying Deng, Beau Coker, Rajarshi Mukherjee +2
We develop a simple and unified framework for nonlinear variable selection that incorporates uncertainty in the prediction function and is compatible with a wide range of machine l…
stat.ML2021
Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin, Mark Collier, Florian Wenzel +7
Uncertainty estimation in deep learning has recently emerged as a crucial area of interest to advance reliability and robustness in safety-critical applications. While there have b…
stat.ML2017★ 5 cited
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
Jeremiah Zhe Liu, Brent Coull
This work constructs a hypothesis test for detecting whether an data-generating function belongs to a specific reproducing kernel Hilbert space $\mathcal{H}_…