Image de couverture de livre

Label-shift robust federated feature screening for high-dimensional classification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qin, Qi, Li, Erbo, Li, Xingxiang, Sun, Yifan, Wang, Wu, Xu, Chen
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity
par: Li, Erbo, et autres
Publié: (2025)

Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
par: Liang, Muxuan, et autres
Publié: (2024)

A feature selection method based on Shapley values robust to concept shift in regression
par: Sebastián, Carlos, et autres
Publié: (2023)

Ridge partial correlation screening for ultrahigh-dimensional data
par: Wang, Run, et autres
Publié: (2025)

Computing high-dimensional optimal transport by flow neural networks
par: Xu, Chen, et autres
Publié: (2023)

Semiparametric Learning from Open-Set Label Shift Data
par: Liu, Siyan, et autres
Publié: (2025)

Misspecification-robust likelihood-free inference in high dimensions
par: Thomas, Owen, et autres
Publié: (2020)

Discriminative classification with generative features: bridging Naive Bayes and logistic regression
par: Terner, Zachary, et autres
Publié: (2025)

Identification and multiply robust estimation in causal mediation analysis across principal strata
par: Cheng, Chao, et autres
Publié: (2023)

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
par: Li, Yuhan, et autres
Publié: (2025)

Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
par: Zhao, Huali, et autres
Publié: (2024)

Total robustness in Bayesian Nonlinear Regression
par: Chen, Mengqi, et autres
Publié: (2025)

Robust Multi-Source Domain Adaptation under Label Shift
par: Xu, Congbin, et autres
Publié: (2025)

Advanced Tutorial: Label-Efficient Two-Sample Tests
par: Li, Weizhi, et autres
Publié: (2025)

Neyman-Pearson multiclass classification under label noise via empirical likelihood
par: Zhang, Qiong, et autres
Publié: (2026)

Modeling high dimensional point clouds with the spherical cluster model
par: Cazals, Frédéric, et autres
Publié: (2025)

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
par: Ma, Ziling, et autres
Publié: (2025)

Doubly robust identification of treatment effects from multiple environments
par: De Bartolomeis, Piersilvio, et autres
Publié: (2025)

Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
par: Zgodic, Anja, et autres
Publié: (2023)

Distributionally robust risk evaluation with an isotonic constraint
par: Gui, Yu, et autres
Publié: (2024)

Towards Identifiability of Hierarchical Temporal Causal Representation Learning
par: Li, Zijian, et autres
Publié: (2025)

Introducing Diminutive Causal Structure into Graph Representation Learning
par: Gao, Hang, et autres
Publié: (2024)

Causality-oriented robustness: exploiting general noise interventions
par: Shen, Xinwei, et autres
Publié: (2023)

Assumption violations in causal discovery and the robustness of score matching
par: Montagna, Francesco, et autres
Publié: (2023)

Extended Isolation Forest with feature sensitivities
par: Donhauzer, Illia
Publié: (2026)

Inference on covariance structure in high-dimensional multi-view data
par: Mauri, Lorenzo, et autres
Publié: (2025)

Partially factorized variational inference for high-dimensional mixed models
par: Goplerud, Max, et autres
Publié: (2023)

Powerful batch conformal prediction for classification
par: Gazin, Ulysse, et autres
Publié: (2024)

Tucker Diffusion Model for High-dimensional Tensor Generation
par: Guo, Jianhua, et autres
Publié: (2026)

An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
par: Hu, Shouri, et autres
Publié: (2024)

Variational empirical Bayes variable selection in high-dimensional logistic regression
par: Tang, Yiqi, et autres
Publié: (2025)

Robust performance metrics for imbalanced classification problems
par: Holzmann, Hajo, et autres
Publié: (2024)

DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations
par: Zhu, Jiageng, et autres
Publié: (2024)

Sparse minimum Redundancy Maximum Relevance for feature selection
par: Naylor, Peter, et autres
Publié: (2025)

Decorrelated feature importance from local sample weighting
par: Fröhlich, Benedikt, et autres
Publié: (2025)

Neural interval-censored survival regression with feature selection
par: Meixide, Carlos García, et autres
Publié: (2022)

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
par: Ascolani, Filippo, et autres
Publié: (2025)

Nonparametric independence tests in high-dimensional settings, with applications to the genetics of complex disease
par: Castro-Prado, Fernando
Publié: (2024)

Federated fairness-aware classification under differential privacy
par: Xue, Gengyu, et autres
Publié: (2026)

A model-free subdata selection method for classification
par: Singh, Rakhi
Publié: (2024)