Cover Image

Conditional Predictive Inference for General Structured Data with Group Symmetries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Yichen, Yu, Mengxin
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

SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)

SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)

Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)

Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)

Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)

Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)

Predictive Inference in Multi-environment Scenarios
by: Duchi, John C., et al.
Published: (2024)

Optimal Conditional Inference in Adaptive Experiments
by: Chen, Jiafeng, et al.
Published: (2023)

Differentiable Structure Learning and Causal Discovery for General Binary Data
by: Deng, Chang, et al.
Published: (2025)

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

Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
by: Jiang, Hanyang, et al.
Published: (2026)

Efficient Inference after Directionally Stable Adaptive Experiments
by: Shen, Zikai, et al.
Published: (2026)

Optimal Differentially Private Ranking from Pairwise Comparisons
by: Cai, T. Tony, et al.
Published: (2025)

Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
by: Zhang, Zhixian, et al.
Published: (2026)

Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
by: Shen, Zikai, et al.
Published: (2026)

Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)

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)

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

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

The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
by: Zhang, Yuqian, et al.
Published: (2023)

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)

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

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

Statistical Inference on Gradient Flows
by: Li, Tongyu, et al.
Published: (2026)

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

Learning Linear Polytree Structural Equation Models
by: Lou, Xingmei, et al.
Published: (2021)

Likelihood-Preserving Embeddings for Statistical Inference
by: Akdemir, Deniz
Published: (2025)

Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)

Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)

ARK: Robust Knockoffs Inference with Coupling
by: Fan, Yingying, et al.
Published: (2023)

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)

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

Neural Conditional Probability for Uncertainty Quantification
by: Kostic, Vladimir R., et al.
Published: (2024)

SOFARI: High-Dimensional Manifold-Based Inference
by: Zheng, Zemin, et al.
Published: (2023)

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

Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
by: Yan, Yuling, et al.
Published: (2024)

Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
by: Chen, Ling, et al.
Published: (2024)

Statistical Analysis of Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss
by: Guo, Zijian, et al.
Published: (2025)

Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026)