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

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

15 April 2022

Rajarshi Mukherjee

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

16 / 16 papers shown

Title
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data S. E. Golovenkin Jonathan Bac A. Chervov Evgeny M. Mirkes Y. Orlova E. Barillot A. Gorban A. Zinovyev 42 42 0 07 Jul 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks Sujay Thakur Cooper Lorsung Yaniv Yacoby Finale Doshi-Velez Weiwei Pan BDL UQCV 49 4 0 21 Jun 2020
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 UQCV BDL 135 444 0 17 Jun 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 64 31 0 26 Feb 2020
Implicit Regularization of Random Feature Models Arthur Jacot Berfin Simsek Francesco Spadaro Clément Hongler Franck Gabriel 53 82 0 19 Feb 2020
A Survey on Causal Inference Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang CML 57 506 0 05 Feb 2020
Benchmarking the Neural Linear Model for Regression Sebastian W. Ober C. Rasmussen BDL 49 42 0 18 Dec 2019
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 67 523 0 28 May 2018
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 140 88 0 24 Mar 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 176 805 0 22 Aug 2017
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 208 882 0 06 Nov 2015
Bayesian Approximate Kernel Regression with Variable Selection Lorin Crawford K. Wood Xiaoping Zhou Sayan Mukherjee 51 44 0 05 Aug 2015
The Random Forest Kernel and other kernels for big data from random partitions Alex O. Davies Zoubin Ghahramani 121 65 0 18 Feb 2014
Complexity Analysis of the Lasso Regularization Path Julien Mairal Bin Yu 165 129 0 01 May 2012
The semiparametric Bernstein-von Mises theorem Peter J. Bickel B. Kleijn 110 125 0 01 Jul 2010
Analysis of a Random Forests Model Gérard Biau 114 1,390 0 03 May 2010

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