Copertina

Model-independent variable selection via the rule-based variable priority

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lu, Min, Ishwaran, Hemant
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

General OOD Detection via Model-aware and Subspace-aware Variable Priority
di: Lu, Min, et al.
Pubblicazione: (2025)

Effect of hyperparameters on variable selection in random forests
di: Fouodo, Cesaire J. K., et al.
Pubblicazione: (2023)

Flexible variable selection in the presence of missing data
di: Williamson, B. D., et al.
Pubblicazione: (2022)

Sparse-group boosting -- Unbiased group and variable selection
di: Obster, Fabian, et al.
Pubblicazione: (2022)

PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
di: Asenso, Theophilus Quachie, et al.
Pubblicazione: (2026)

Storage capacity of perceptron with variable selection
di: Xu, Yingying, et al.
Pubblicazione: (2025)

Cluster Model for parsimonious selection of variables and enhancing Students Employability Prediction
di: Thakar, Pooja, et al.
Pubblicazione: (2024)

Robust variable selection for spatial point processes observed with noise
di: Sturm, Dominik, et al.
Pubblicazione: (2025)

Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
di: Wood, Danny, et al.
Pubblicazione: (2023)

VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
di: Rao, Jackie, et al.
Pubblicazione: (2024)

What is in the model? A Comparison of variable selection criteria and model search approaches
di: Xu, Shuangshuang, et al.
Pubblicazione: (2025)

Variational empirical Bayes variable selection in high-dimensional logistic regression
di: Tang, Yiqi, et al.
Pubblicazione: (2025)

Kriging via variably scaled kernels
di: Audone, Gianluca, et al.
Pubblicazione: (2026)

Statistical inference after variable selection in Cox models: A simulation study
di: Schemet, Lena, et al.
Pubblicazione: (2026)

Multi-variable Adversarial Time-Series Forecast Model
di: Chen, Xiaoqiao
Pubblicazione: (2024)

Substitute adjustment via recovery of latent variables
di: Adams, Jeffrey, et al.
Pubblicazione: (2024)

ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System
di: Pandey, Rahul, et al.
Pubblicazione: (2024)

Graph Matching via convex relaxation to the simplex
di: Valdivia, Ernesto Araya, et al.
Pubblicazione: (2023)

Joint estimation of smooth graph signals from partial linear measurements
di: Tyagi, Hemant
Pubblicazione: (2025)

Transforming variables to central normality
di: Raymaekers, Jakob, et al.
Pubblicazione: (2020)

Learning Heat-based Equations in Self-similar variables
di: Wang, Shihao, et al.
Pubblicazione: (2026)

Learning-based agricultural management in partially observable environments subject to climate variability
di: Wang, Zhaoan, et al.
Pubblicazione: (2024)

Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
di: Hermansen, Tobias Østmo, et al.
Pubblicazione: (2025)

Reliable and scalable variable importance estimation via warm-start and early stopping
di: Sun, Zexuan, et al.
Pubblicazione: (2024)

Estimating treatment effects from single-arm trials via latent-variable modeling
di: Haussmann, Manuel, et al.
Pubblicazione: (2023)

Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
di: Araya, Ernesto, et al.
Pubblicazione: (2022)

Practical considerations for variable screening in the super learner
di: Williamson, Brian D., et al.
Pubblicazione: (2023)

Perturbative methods for non-parametric instrumental variable
di: Bu, Wei, et al.
Pubblicazione: (2026)

A distance for mixed-variable and hierarchical domains with meta variables
di: Hallé-Hannan, Edward, et al.
Pubblicazione: (2024)

The co-varying ties between networks and item responses via latent variables
di: Wang, Selena, et al.
Pubblicazione: (2024)

Enhanced sampling of robust molecular datasets with uncertainty-based collective variables
di: Tan, Aik Rui, et al.
Pubblicazione: (2024)

AdaCred: Adaptive Causal Decision Transformers with Feature Crediting
di: Kumawat, Hemant, et al.
Pubblicazione: (2024)

Variance-based sensitivity analysis in the presence of correlated input variables
di: Most, Thomas
Pubblicazione: (2024)

Treatment response as a latent variable
di: Tosh, Christopher, et al.
Pubblicazione: (2025)

Eliciting associations between clinical variables from LLMs via comparison questions across populations
di: Kabus, Fabian, et al.
Pubblicazione: (2026)

Extremal graphical modeling with latent variables via convex optimization
di: Engelke, Sebastian, et al.
Pubblicazione: (2024)

Reducing the dimensionality and granularity in hierarchical categorical variables
di: Wilsens, Paul, et al.
Pubblicazione: (2024)

Causal discovery with endogenous context variables
di: Günther, Wiebke, et al.
Pubblicazione: (2024)

Knowledge-guided Continual Learning for Behavioral Analytics Systems
di: Senarath, Yasas, et al.
Pubblicazione: (2025)

Matching correlated VAR time series
di: Araya, Ernesto, et al.
Pubblicazione: (2025)