Cover Image

Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yao, Zeyu, Gang, Bowen, Sun, Wenguang
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Recovery With Multiple Data Streams: A Sequential Adaptive Testing Approach
by: Wang, Weinan, et al.
Published: (2017)

False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values
by: Zhao, Zinan, et al.
Published: (2023)

When Should an AI Workflow Release? Always-Valid Inference for Black-Box Generate-Verify Systems
by: Cho, Young Hyun, et al.
Published: (2026)

Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
by: Sun, Rongyi, et al.
Published: (2026)

SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
by: Kuang, Qi, et al.
Published: (2026)

A Conformalized Empirical Bayes Method for Multiple Testing with Side Information
by: Zhao, Zinan, et al.
Published: (2025)

Randomization Inference For the Always-Reporter Average Treatment Effect
by: Chang, Haoge, et al.
Published: (2026)

Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets
by: Li, Wangcheng, et al.
Published: (2026)

Sequentially Doubly Robust Estimation of Conditional Survival Probability with Time-Varying Covariates
by: Qiu, Hongxiang, et al.
Published: (2025)

Off-policy Evaluation in Doubly Inhomogeneous Environments
by: Bian, Zeyu, et al.
Published: (2023)

Conjugate Generalised Bayesian Inference for Discrete Doubly Intractable Problems
by: Laplante, William, et al.
Published: (2025)

Bayesian Doubly Robust Causal Inference via Posterior Coupling
by: Orihara, Shunichiro, et al.
Published: (2025)

On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
by: Dukes, Oliver, et al.
Published: (2021)

Ensemble Doubly Robust Bayesian Inference via Regression Synthesis
by: Babasaki, Kaoru, et al.
Published: (2024)

e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control
by: Zhang, Yifan, et al.
Published: (2025)

Safe Individualized Treatment Rules with Controllable Harm Rates
by: Wu, Peng, et al.
Published: (2025)

Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
by: Moon, Haeun, et al.
Published: (2024)

Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
by: Wu, Hao, et al.
Published: (2025)

Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)

Online Tensor Inference
by: Wen, Xin, et al.
Published: (2023)

Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)

Large-Scale Multiple Testing of Composite Null Hypotheses Under Heteroskedasticity
by: Gang, Bowen, et al.
Published: (2023)

A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)

A Set of Rules for Model Validation
by: Camacho, José
Published: (2025)

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)

On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
by: Sun, Baoluo, et al.
Published: (2023)

Conformalized Multiple Testing under Unknown Null Distribution with Symmetric Errors
by: Tian, Yang, et al.
Published: (2025)

Online Semiparametric Regression via Sequential Monte Carlo
by: Menictas, Marianne, et al.
Published: (2023)

Causal Inference on Sequential Treatments via Tensor Completion
by: Gao, Chenyin, et al.
Published: (2025)

Trajectory-Based Individualized Treatment Rules
by: Yao, Lanqiu, et al.
Published: (2024)

Scoring Rules with Normalized Upper Order Statistics for Tail Inference
by: Bladt, Martin, et al.
Published: (2026)

Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)

A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification
by: Rava, Bradley, et al.
Published: (2021)

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)

Anytime Validity is Free: Inducing Sequential Tests
by: Koning, Nick W., et al.
Published: (2025)

Evaluating Surrogates in Individualized Treatment Rules
by: Xu, Zeyu, et al.
Published: (2025)

Doubly Robust Proximal Synthetic Controls
by: Qiu, Hongxiang, et al.
Published: (2022)

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)

Active Hypothesis Testing under Computational Budgets with Applications to GWAS and LLM
by: Kuang, Qi, et al.
Published: (2025)