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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.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}_…