Cover Image

Hierarchical Clustering With Confidence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Di, Bien, Jacob, Panigrahi, Snigdha
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selective Inference for Time-Varying Effect Moderation
by: Bakshi, Soham, et al.
Published: (2024)

Selective inference using randomized group lasso estimators for general models
by: Huang, Yiling, et al.
Published: (2023)

Generalized Data Thinning Using Sufficient Statistics
by: Dharamshi, Ameer, et al.
Published: (2023)

Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)

Cross-Validation with Antithetic Gaussian Randomization
by: Liu, Sifan, et al.
Published: (2024)

Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
by: Jin, Ying, et al.
Published: (2024)

Adaptive Confidence Intervals in Efron's Gaussian Two-Groups Model
by: Wang, Qiaosen, et al.
Published: (2026)

Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
by: Zhang, Tianyu, et al.
Published: (2024)

Time-Uniform Confidence Spheres for Means of Random Vectors
by: Chugg, Ben, et al.
Published: (2023)

Weighted Conformal Clustering
by: Nath, Anirban, et al.
Published: (2026)

On Nonasymptotic Confidence Intervals for Treatment Effects in Randomized Experiments
by: Sandoval, Ricardo J., et al.
Published: (2026)

High-dimensional Clustering and Signal Recovery under Block Signals
by: Su, Wu, et al.
Published: (2025)

On Quantification of Borrowing of Information in Hierarchical Bayesian Models
by: Ghosh, Prasenjit, et al.
Published: (2025)

Jointly Modeling and Clustering Tensors in High Dimensions
by: Cai, Biao, et al.
Published: (2021)

Perfect Clustering in Very Sparse Diverse Multiplex Networks
by: Pensky, Marianna
Published: (2025)

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)

Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)

Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
by: Roy, Somjit, et al.
Published: (2025)

Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026)

Flexible Selective Inference with Flow-based Transport Maps
by: Liu, Sifan, et al.
Published: (2025)

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
by: De, Sourav, et al.
Published: (2025)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)

The BdryMatérn GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling
by: Ding, Liang, et al.
Published: (2025)

MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
by: Hong, Mao, et al.
Published: (2024)

Proximal Path-Specific Inference
by: Bai, Yang, et al.
Published: (2026)

Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
by: Wu, Yong, et al.
Published: (2025)

Higher-order accurate two-sample network inference and network hashing
by: Shao, Meijia, et al.
Published: (2022)

On the Hierarchical Bayes justification of Empirical Bayes Confidence Intervals
by: Sen, Aditi, et al.
Published: (2025)

Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024)

Anytime-valid off-policy inference for contextual bandits
by: Waudby-Smith, Ian, et al.
Published: (2022)

Scale-adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
by: Di Noia, Antonio, et al.
Published: (2024)

Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)

Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
by: Bateni, Borna, et al.
Published: (2025)

Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
by: Aolaritei, Liviu, et al.
Published: (2025)

Strongly Consistent Community Detection in Popularity Adjusted Block Models
by: Yuan, Quan, et al.
Published: (2025)

What is a good matching of probability measures? A counterfactual lens on transport maps
by: De Lara, Lucas, et al.
Published: (2025)

Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets
by: Chen, Hongrui, et al.
Published: (2025)

Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
by: Kumar, Shivam, et al.
Published: (2025)

Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)