Cover Image

Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Mingyi, Jin, Ying
Format:	Preprint
Published:	2026
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

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

A Permutation-free Kernel Two-Sample Test
by: Shekhar, Shubhanshu, et al.
Published: (2022)

Max-Rank: Efficient Multiple Testing for Conformal Prediction
by: Timans, Alexander, et al.
Published: (2023)

A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations
by: Chatalic, Antoine, et al.
Published: (2025)

Testing for Outliers with Conformal p-values
by: Bates, Stephen, et al.
Published: (2021)

Theoretical Foundations of Conformal Prediction
by: Angelopoulos, Anastasios N., et al.
Published: (2024)

Fuzzy Prediction Sets: Conformal Prediction with E-values
by: Koning, Nick W., et al.
Published: (2025)

Conformal Prediction with Time-Series Data via Sequential Conformalized Density Regions
by: Sampson, M., et al.
Published: (2026)

Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
by: Rodemann, Julian, et al.
Published: (2025)

Interpretable Multivariate Conformal Prediction with Fast Transductive Standardization
by: Fan, Yunjie, et al.
Published: (2025)

Parametric Scaling Law of Tuning Bias in Conformal Prediction
by: Zeng, Hao, et al.
Published: (2025)

Differentially Private Permutation Tests: Applications to Kernel Methods
by: Kim, Ilmun, et al.
Published: (2023)

Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)

Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
by: Lugosi, Gábor, et al.
Published: (2025)

Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
by: Lee, Chanwoo, et al.
Published: (2021)

Probabilistic Conformal Prediction with Approximate Conditional Validity
by: Plassier, Vincent, et al.
Published: (2024)

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

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

Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
by: Wang, Xiaohan, et al.
Published: (2025)

Label Noise Robustness of Conformal Prediction
by: Einbinder, Bat-Sheva, et al.
Published: (2022)

A Conditional Distribution Equality Testing Framework using Deep Generative Learning
by: Zheng, Siming, et al.
Published: (2025)

Conformal Risk Control for Non-Monotonic Losses
by: Angelopoulos, Anastasios N.
Published: (2026)

Multiply Robust Conformal Risk Control with Coarsened Data
by: Paul, Manit, et al.
Published: (2025)

Permutation Inference for Canonical Correlation Analysis
by: Winkler, Anderson M., et al.
Published: (2020)

Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines
by: Cheung, Matt Y., 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)

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
by: Jin, Ying, et al.
Published: (2022)

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)

Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
by: Jin, Ying, et al.
Published: (2025)

Compress Then Test: Powerful Kernel Testing in Near-linear Time
by: Domingo-Enrich, Carles, et al.
Published: (2023)

Foresighted Online Policy Optimization with Interference
by: Xiang, Liner, et al.
Published: (2025)

Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)

Online Kernel CUSUM for Change-Point Detection
by: Wei, Song, et al.
Published: (2022)

Noise-contrastive Online Change Point Detection
by: Puchkin, Nikita, et al.
Published: (2022)

On Ranking-based Tests of Independence
by: Limnios, Myrto, et al.
Published: (2024)

Sequential Kernelized Independence Testing
by: Podkopaev, Aleksandr, et al.
Published: (2022)

On the Robustness of Kernel Goodness-of-Fit Tests
by: Liu, Xing, et al.
Published: (2024)

The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)

Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
by: Dunn, Robin, et al.
Published: (2021)