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More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach
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More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach

Kazuya Sugiyama
Vo Nguyen Le Duy
Ichiro Takeuchi
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Papers citing "More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach"

6 / 6 papers shown
Title
Statistically Significant $k$NNAD by Selective Inference
Statistically Significant kkNNAD by Selective Inference
Mizuki Niihori
Teruyuki Katsuoka
Tomohiro Shiraishi
Shuichi Nishino
Ichiro Takeuchi
140
1
0
18 Feb 2025
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAttAAML
66
16
0
06 Jan 2023
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Vo Nguyen Le Duy
Ichiro Takeuchi
82
14
0
29 Sep 2021
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy
Ichiro Takeuchi
68
36
0
11 May 2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
Toshiaki Tsukurimichi
Yu Inatsu
Vo Nguyen Le Duy
Ichiro Takeuchi
84
23
0
22 Apr 2021
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
55
20
0
05 Oct 2020