Cover Image

A Locally Adaptive Algorithm for Multiple Testing with Network Structure

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Ziyi, Cai, T. Tony, Sun, Wenguang, Xia, Yin
Format:	Preprint
Published:	2022
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
by: Luo, Jiajun, et al.
Published: (2023)

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

Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems
by: Liang, Ziyi, et al.
Published: (2024)

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

Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding
by: Sansford, Hannah, et al.
Published: (2026)

Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning
by: Liang, Ziyi, et al.
Published: (2025)

Multiple Testing of Linear Forms for Noisy Matrix Completion
by: Ma, Wanteng, et al.
Published: (2023)

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

Conditional Local Independence Testing for Itô processes with Applications to Dynamic Causal Discovery
by: Liu, Mingzhou, et al.
Published: (2025)

Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026)

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
by: Cai, T. Tony, et al.
Published: (2024)

Unified Conformalized Multiple Testing with Full Data Efficiency
by: Huo, Yuyang, et al.
Published: (2025)

Local Prediction-Powered Inference
by: Gu, Yanwu, et al.
Published: (2024)

Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
by: Tan, Jianbin, et al.
Published: (2025)

Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection
by: Lu, Lin, et al.
Published: (2025)

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)

Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
by: Neopane, Ojash, et al.
Published: (2025)

MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks
by: Fan, Yingying, et al.
Published: (2025)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
by: Zhan, Ruohan, et al.
Published: (2024)

Conditional Testing based on Localized Conformal p-values
by: Wu, Xiaoyang, et al.
Published: (2024)

Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
by: Nguyen, Drew T., et al.
Published: (2024)

Structure Maintained Representation Learning Neural Network for Causal Inference
by: Sun, Yang, et al.
Published: (2025)

CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
by: Cho, Brian M, et al.
Published: (2024)

A Bootstrap-based Method for Testing Network Similarity
by: Bhadra, Somnath, et al.
Published: (2019)

Better Locally Private Sparse Estimation Given Multiple Samples Per User
by: Ma, Yuheng, et al.
Published: (2024)

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes
by: Cui, Jiaxu, et al.
Published: (2023)

Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
by: Cho, Brian, et al.
Published: (2024)

Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
by: Guo, Xiao, et al.
Published: (2023)

SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
by: Shan, Jiawei, et al.
Published: (2025)

Adaptive Physics-Guided Neural Network
by: Shulman, David, et al.
Published: (2024)

PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
by: Jia, Ke, et al.
Published: (2025)

Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice
by: Machlanski, Damian, et al.
Published: (2023)

Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
by: Xu, Mingyuan, et al.
Published: (2026)

M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
by: Li, Xingyu, et al.
Published: (2025)

Federated Learning of Quantile Inference under Local Differential Privacy
by: Cai, Leheng, et al.
Published: (2025)

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

An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2024)

Statistical Inference for Differentially Private Stochastic Gradient Descent
by: Xia, Xintao, et al.
Published: (2025)

Local MDI+: Local Feature Importances for Tree-Based Models
by: Liang, Zhongyuan, et al.
Published: (2025)