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Towards a Unified Framework for Uncertainty-aware Nonlinear Variable
  Selection with Theoretical Guarantees
v1v2 (latest)

Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees

Neural Information Processing Systems (NeurIPS), 2022
15 April 2022
Wenying Deng
Beau Coker
Rajarshi Mukherjee
J. Liu
B. Coull
ArXiv (abs)PDFHTML

Papers citing "Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees"

3 / 3 papers shown
TrIM: Transformed Iterative Mondrian Forests for Gradient-based
  Dimension Reduction and High-Dimensional Regression
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
Ricardo Baptista
Eliza O'Reilly
Yangxinyu Xie
235
3
0
13 Jul 2024
Statistical Advantages of Oblique Randomized Decision Trees and Forests
Statistical Advantages of Oblique Randomized Decision Trees and Forests
Eliza O'Reilly
174
2
0
02 Jul 2024
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCVBDL
832
518
0
17 Jun 2020
1
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