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Selective Inference for Hierarchical Clustering
v1v2v3 (latest)

Selective Inference for Hierarchical Clustering

Journal of the American Statistical Association (JASA), 2020
5 December 2020
Lucy L. Gao
Jacob Bien
Daniela Witten
ArXiv (abs)PDFHTML

Papers citing "Selective Inference for Hierarchical Clustering"

30 / 30 papers shown
Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
Tran Tuan Kiet
Nguyen Thang Loi
Vo Nguyen Le Duy
142
1
0
09 Aug 2025
Flexible Selective Inference with Flow-based Transport Maps
Flexible Selective Inference with Flow-based Transport Maps
Sifan Liu
Snigdha Panigrahi
230
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
284
0
0
25 Apr 2025
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Mizuki Niihori
Teruyuki Katsuoka
Tomohiro Shiraishi
Shuichi Nishino
Ichiro Takeuchi
I. Takeuchi
418
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
230
2
0
19 Oct 2024
Statistical Test for Auto Feature Engineering by Selective Inference
Statistical Test for Auto Feature Engineering by Selective InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Tatsuya Matsukawa
Tomohiro Shiraishi
Shuichi Nishino
Teruyuki Katsuoka
Ichiro Takeuchi
TPM
382
2
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
271
3
0
17 Sep 2024
Interpretable Clustering with the Distinguishability Criterion
Interpretable Clustering with the Distinguishability Criterion
Ali Turfah
Xiaoquan Wen
249
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
264
8
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
325
6
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 InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Vo Nguyen Le Duy
Hsuan-Tien Lin
Ichiro Takeuchi
256
12
0
23 Oct 2023
Post-clustering Inference under Dependency
Post-clustering Inference under Dependency
Javier González-Delgado
Juan Cortés
P. Neuvial
244
1
0
18 Oct 2023
Post-Selection Inference for Sparse Estimation
Post-Selection Inference for Sparse Estimation
Joe Suzuki
265
1
0
09 Oct 2023
Selective inference after convex clustering with $\ell_1$ penalization
Selective inference after convex clustering with ℓ1\ell_1ℓ1​ penalizationE S A I M: Probability & Statistics (ESAIM-PS), 2023
François Bachoc
Cathy Maugis-Rabusseau
P. Neuvial
224
4
0
04 Sep 2023
Interpretable Machine Learning for Discovery: Statistical Challenges \&
  Opportunities
Interpretable Machine Learning for Discovery: Statistical Challenges \& OpportunitiesAnnual Review of Statistics and Its Application (ARSIA), 2023
Genevera I. Allen
Luqin Gan
Lili Zheng
272
9
0
02 Aug 2023
Bounded P-values in Parametric Programming-based Selective Inference
Bounded P-values in Parametric Programming-based Selective InferenceJapanese Journal of Statistics and Data Science (JSDS), 2023
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
271
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?Journal of the American Statistical Association (JASA), 2023
Maximilien Dreveton
Daichi Kuroda
Matthias Grossglauser
Patrick Thiran
303
3
0
01 Jun 2023
Generalized Data Thinning Using Sufficient Statistics
Generalized Data Thinning Using Sufficient StatisticsJournal of the American Statistical Association (JASA), 2023
Ameer Dharamshi
Anna Neufeld
Keshav Motwani
Lucy L. Gao
Daniela Witten
Jacob Bien
256
26
0
22 Mar 2023
Data thinning for convolution-closed distributions
Data thinning for convolution-closed distributionsJournal of machine learning research (JMLR), 2023
Anna Neufeld
Ameer Dharamshi
Lu Gao
Daniela Witten
243
40
0
18 Jan 2023
Exact Selective Inference with Randomization
Exact Selective Inference with Randomization
Snigdha Panigrahi
Kevin Fry
Jonathan E. Taylor
348
18
0
25 Dec 2022
Inferring independent sets of Gaussian variables after thresholding
  correlations
Inferring independent sets of Gaussian variables after thresholding correlationsJournal of the American Statistical Association (JASA), 2022
Arkajyoti Saha
Daniela Witten
Jacob Bien
253
5
0
02 Nov 2022
Kernel Biclustering algorithm in Hilbert Spaces
Kernel Biclustering algorithm in Hilbert SpacesAdvances in Data Analysis and Classification (ADAC), 2022
Marcos Matabuena
J. Vidal
Oscar Hernan Madrid Padilla
Dino Sejdinovic
157
3
0
07 Aug 2022
Selective inference for k-means clustering
Selective inference for k-means clusteringJournal of machine learning research (JMLR), 2022
Yiqun T. Chen
Daniela Witten
256
62
0
29 Mar 2022
Treatment Effect Estimation with Efficient Data Aggregation
Treatment Effect Estimation with Efficient Data AggregationBernoulli (Bernoulli), 2022
Snigdha Panigrahi
Jingshen Wang
Xuming He
389
3
0
23 Mar 2022
Statistical Inference for the Dynamic Time Warping Distance, with
  Application to Abnormal Time-Series Detection
Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series DetectionAnnals of the Institute of Statistical Mathematics (AISM), 2022
Vo Nguyen Le Duy
I. Takeuchi
182
5
0
14 Feb 2022
Controlling the False Split Rate in Tree-Based Aggregation
Controlling the False Split Rate in Tree-Based AggregationJournal of the American Statistical Association (JASA), 2021
Simeng Shao
Jacob Bien
Adel Javanmard
218
1
0
11 Aug 2021
Tree-Values: selective inference for regression trees
Tree-Values: selective inference for regression treesJournal of machine learning research (JMLR), 2021
Anna Neufeld
Lucy L. Gao
Daniela Witten
269
35
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 SimulationNature Communications (Nat Commun), 2021
Zhanlin Chen
Jeremy Goldwasser
Philip Tuckman
Jason Liu
Jing Zhang
M. Gerstein
251
14
0
22 Mar 2021
Approximate Post-Selective Inference for Regression with the Group LASSO
Approximate Post-Selective Inference for Regression with the Group LASSOJournal of machine learning research (JMLR), 2020
Snigdha Panigrahi
Peter Macdonald
Daniel A Kessler
617
15
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 InferenceNeural Information Processing Systems (NeurIPS), 2020
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
413
21
0
05 Oct 2020
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