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Selective Inference for Hierarchical Clustering
v1v2v3 (latest)

Selective Inference for Hierarchical Clustering

5 December 2020
Lucy L. Gao
Jacob Bien
Daniela Witten
ArXiv (abs)PDFHTML

Papers citing "Selective Inference for Hierarchical Clustering"

28 / 28 papers shown
Title
Flexible Selective Inference with Flow-based Transport Maps
Flexible Selective Inference with Flow-based Transport Maps
Sifan Liu
Snigdha Panigrahi
44
0
0
01 Jun 2025
Statistical Inference for Clustering-based Anomaly Detection
Statistical Inference for Clustering-based Anomaly Detection
Nguyen Thi Minh Phu
Duong Tan Loc
Vo Nguyen Le Duy
93
0
0
25 Apr 2025
Statistically Significant $k$NNAD by Selective Inference
Statistically Significant kkkNNAD by Selective Inference
Mizuki Niihori
Teruyuki Katsuoka
Tomohiro Shiraishi
Shuichi Nishino
Ichiro Takeuchi
140
1
0
18 Feb 2025
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
Le Hong Phong
Ho Ngoc Luat
Vo Nguyen Le Duy
81
1
0
19 Oct 2024
Statistical Test for Auto Feature Engineering by Selective Inference
Statistical Test for Auto Feature Engineering by Selective Inference
Tatsuya Matsukawa
Tomohiro Shiraishi
Shuichi Nishino
Teruyuki Katsuoka
Ichiro Takeuchi
TPM
60
1
0
13 Oct 2024
Decomposing Gaussians with Unknown Covariance
Decomposing Gaussians with Unknown Covariance
Ameer Dharamshi
Anna Neufeld
Lucy L. Gao
Jacob Bien
Daniela Witten
CML
64
1
0
17 Sep 2024
Interpretable Clustering with the Distinguishability Criterion
Interpretable Clustering with the Distinguishability Criterion
Ali Turfah
Xiaoquan Wen
40
0
0
24 Apr 2024
Statistical Test for Anomaly Detections by Variational Auto-Encoders
Statistical Test for Anomaly Detections by Variational Auto-Encoders
Daiki Miwa
Tomohiro Shiraishi
Vo Nguyen Le Duy
Teruyuki Katsuoka
Ichiro Takeuchi
DRL
55
7
0
06 Feb 2024
Statistical Test for Attention Map in Vision Transformer
Statistical Test for Attention Map in Vision Transformer
Tomohiro Shiraishi
Daiki Miwa
Teruyuki Katsuoka
Vo Nguyen Le Duy
Koichi Taji
Ichiro Takeuchi
64
5
0
16 Jan 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by
  Statistical Inference
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
Vo Nguyen Le Duy
Hsuan-Tien Lin
Ichiro Takeuchi
67
11
0
23 Oct 2023
Post-clustering Inference under Dependency
Post-clustering Inference under Dependency
Javier González-Delgado
Juan Cortés
P. Neuvial
52
1
0
18 Oct 2023
Post-Selection Inference for Sparse Estimation
Post-Selection Inference for Sparse Estimation
Joe Suzuki
41
0
0
09 Oct 2023
Selective inference after convex clustering with $\ell_1$ penalization
Selective inference after convex clustering with ℓ1\ell_1ℓ1​ penalization
François Bachoc
Cathy Maugis-Rabusseau
P. Neuvial
56
3
0
04 Sep 2023
Interpretable Machine Learning for Discovery: Statistical Challenges \&
  Opportunities
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Genevera I. Allen
Luqin Gan
Lili Zheng
89
9
0
02 Aug 2023
Bounded P-values in Parametric Programming-based Selective Inference
Bounded P-values in Parametric Programming-based Selective Inference
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
77
2
0
21 Jul 2023
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
Maximilien Dreveton
Daichi Kuroda
Matthias Grossglauser
Patrick Thiran
41
2
0
01 Jun 2023
Generalized Data Thinning Using Sufficient Statistics
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi
Anna Neufeld
Keshav Motwani
Lucy L. Gao
Daniela Witten
Jacob Bien
83
17
0
22 Mar 2023
Data thinning for convolution-closed distributions
Data thinning for convolution-closed distributions
Anna Neufeld
Ameer Dharamshi
Lu Gao
Daniela Witten
56
26
0
18 Jan 2023
Exact Selective Inference with Randomization
Exact Selective Inference with Randomization
Snigdha Panigrahi
Kevin Fry
Jonathan E. Taylor
61
14
0
25 Dec 2022
Inferring independent sets of Gaussian variables after thresholding
  correlations
Inferring independent sets of Gaussian variables after thresholding correlations
Arkajyoti Saha
Daniela Witten
Jacob Bien
49
4
0
02 Nov 2022
Kernel Biclustering algorithm in Hilbert Spaces
Kernel Biclustering algorithm in Hilbert Spaces
Marcos Matabuena
J. Vidal
Oscar Hernan Madrid Padilla
Dino Sejdinovic
43
2
0
07 Aug 2022
Selective inference for k-means clustering
Selective inference for k-means clustering
Yiqun T. Chen
Daniela Witten
68
47
0
29 Mar 2022
Treatment Effect Estimation with Efficient Data Aggregation
Treatment Effect Estimation with Efficient Data Aggregation
Snigdha Panigrahi
Jingshen Wang
Xuming He
50
3
0
23 Mar 2022
Controlling the False Split Rate in Tree-Based Aggregation
Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao
Jacob Bien
Adel Javanmard
63
1
0
11 Aug 2021
Tree-Values: selective inference for regression trees
Tree-Values: selective inference for regression trees
Anna Neufeld
Lucy L. Gao
Daniela Witten
62
26
0
15 Jun 2021
Forest Fire Clustering for Single-cell Sequencing with Iterative Label
  Propagation and Parallelized Monte Carlo Simulation
Forest Fire Clustering for Single-cell Sequencing with Iterative Label Propagation and Parallelized Monte Carlo Simulation
Zhanlin Chen
Jeremy Goldwasser
Philip Tuckman
Jason Liu
Jing Zhang
M. Gerstein
38
12
0
22 Mar 2021
Approximate Post-Selective Inference for Regression with the Group LASSO
Approximate Post-Selective Inference for Regression with the Group LASSO
Snigdha Panigrahi
Peter Macdonald
Daniel A Kessler
28
13
0
31 Dec 2020
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
19
0
05 Oct 2020
1