On Ranking-based Tests of Independence
Fuente:
arXiv
Saved in:
| Main Authors: | Limnios, Myrto, Clémençon, Stéphan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sequential Kernelized Independence Testing
by: Podkopaev, Aleksandr, et al.
Published: (2022)
by: Podkopaev, Aleksandr, et al.
Published: (2022)
Max-Rank: Efficient Multiple Testing for Conformal Prediction
by: Timans, Alexander, et al.
Published: (2023)
by: Timans, Alexander, et al.
Published: (2023)
Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Deep Nonparametric Conditional Independence Tests for Images
by: Simnacher, Marco, et al.
Published: (2024)
by: Simnacher, Marco, et al.
Published: (2024)
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)
by: Fan, Jianqing, et al.
Published: (2022)
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Optimal Differentially Private Ranking from Pairwise Comparisons
by: Cai, T. Tony, et al.
Published: (2025)
by: Cai, T. Tony, et al.
Published: (2025)
Compress Then Test: Powerful Kernel Testing in Near-linear Time
by: Domingo-Enrich, Carles, et al.
Published: (2023)
by: Domingo-Enrich, Carles, et al.
Published: (2023)
On the Robustness of Kernel Goodness-of-Fit Tests
by: Liu, Xing, et al.
Published: (2024)
by: Liu, Xing, et al.
Published: (2024)
The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
Testing for Outliers with Conformal p-values
by: Bates, Stephen, et al.
Published: (2021)
by: Bates, Stephen, et al.
Published: (2021)
Boosting the Power of Kernel Two-Sample Tests
by: Chatterjee, Anirban, et al.
Published: (2023)
by: Chatterjee, Anirban, et al.
Published: (2023)
Statistical Hypothesis Testing for Information Value (IV)
by: Rojas, Helder, et al.
Published: (2023)
by: Rojas, Helder, et al.
Published: (2023)
Multi-Armed Sequential Hypothesis Testing by Betting
by: Sandoval, Ricardo J., et al.
Published: (2026)
by: Sandoval, Ricardo J., et al.
Published: (2026)
Hypothesis Testing for High-Dimensional Matrix-Valued Data
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Notes on Forré's Notion of Conditional Independence and Causal Calculus for Continuous Variables
by: Chen, Leihao
Published: (2026)
by: Chen, Leihao
Published: (2026)
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)
by: Tran, Binh Thuan, et al.
Published: (2025)
A Permutation-free Kernel Two-Sample Test
by: Shekhar, Shubhanshu, et al.
Published: (2022)
by: Shekhar, Shubhanshu, et al.
Published: (2022)
Multiple Testing of Linear Forms for Noisy Matrix Completion
by: Ma, Wanteng, et al.
Published: (2023)
by: Ma, Wanteng, et al.
Published: (2023)
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)
by: Jain, Saksham, et al.
Published: (2026)
Kernel Two-Sample Testing via Directional Components Analysis
by: Cui, Rui, et al.
Published: (2025)
by: Cui, Rui, et al.
Published: (2025)
A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations
by: Chatalic, Antoine, et al.
Published: (2025)
by: Chatalic, Antoine, et al.
Published: (2025)
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
by: Dunn, Robin, et al.
Published: (2021)
by: Dunn, Robin, et al.
Published: (2021)
A Conditional Distribution Equality Testing Framework using Deep Generative Learning
by: Zheng, Siming, et al.
Published: (2025)
by: Zheng, Siming, et al.
Published: (2025)
Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
by: Zheng, Mingyi, et al.
Published: (2026)
by: Zheng, Mingyi, et al.
Published: (2026)
Low-Rank Thinning
by: Carrell, Annabelle Michael, et al.
Published: (2025)
by: Carrell, Annabelle Michael, et al.
Published: (2025)
Testing Most Influential Sets
by: Konrad, Lucas Darius, et al.
Published: (2025)
by: Konrad, Lucas Darius, et al.
Published: (2025)
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)
by: Chatterjee, Anirban, et al.
Published: (2024)
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
by: Jiang, Cong, et al.
Published: (2023)
by: Jiang, Cong, et al.
Published: (2023)
Perturbation-based Effect Measures for Compositional Data
by: Lundborg, Anton Rask, et al.
Published: (2023)
by: Lundborg, Anton Rask, et al.
Published: (2023)
Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)
by: Lin, Licong, et al.
Published: (2023)
Variance-based sensitivity analysis in the presence of correlated input variables
by: Most, Thomas
Published: (2024)
by: Most, Thomas
Published: (2024)
Model-based causal feature selection for general response types
by: Kook, Lucas, et al.
Published: (2023)
by: Kook, Lucas, et al.
Published: (2023)
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
by: Hong, Mao, et al.
Published: (2024)
by: Hong, Mao, et al.
Published: (2024)
Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2026)
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2026)
Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework
by: Lin, Zhengqi, et al.
Published: (2025)
by: Lin, Zhengqi, et al.
Published: (2025)
A renormalization-group inspired lattice-based framework for piecewise generalized linear models
by: Chang, Joshua C.
Published: (2026)
by: Chang, Joshua C.
Published: (2026)
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)
by: Bibaut, Aurelien, et al.
Published: (2022)
Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing
by: Yan, Jian, et al.
Published: (2022)
by: Yan, Jian, et al.
Published: (2022)
Interaction Testing in Variation Analysis
by: Plecko, Drago
Published: (2024)
by: Plecko, Drago
Published: (2024)
Similar Items
-
Sequential Kernelized Independence Testing
by: Podkopaev, Aleksandr, et al.
Published: (2022) -
Max-Rank: Efficient Multiple Testing for Conformal Prediction
by: Timans, Alexander, et al.
Published: (2023) -
Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023) -
Deep Nonparametric Conditional Independence Tests for Images
by: Simnacher, Marco, et al.
Published: (2024) -
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)