:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shen, Zongxin, Huang, Yanyong, Wang, Dongjie, Ma, Minbo, Lv, Fengmao, Li, Tianrui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Methodology
Online Access:	https://arxiv.org/abs/2410.12224
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning
by: Tan, Yalan, et al.
Published: (2026)

Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection
by: Shen, Zongxin, et al.
Published: (2025)

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
by: Huang, Yanyong, et al.
Published: (2024)

Structure-aware Hybrid-order Similarity Learning for Multi-view Unsupervised Feature Selection
by: Xu, Lin, et al.
Published: (2025)

Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2025)

TRUST-FS: Tensorized Reliable Unsupervised Multi-View Feature Selection for Incomplete Data
by: Lu, Minghui, et al.
Published: (2025)

Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
by: Yang, Li, et al.
Published: (2024)

CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection
by: Huang, Yanyong, et al.
Published: (2024)

Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation
by: Cai, Yuxin, et al.
Published: (2025)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)

Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
by: Ng, Woon Yee, et al.
Published: (2025)

Causal Feature Learning in the Social Sciences
by: Huang, Jingzhou, et al.
Published: (2025)

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
by: Tang, Kai, et al.
Published: (2025)

Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
by: Li, Haoze, et al.
Published: (2025)

Towards Identifiability of Hierarchical Temporal Causal Representation Learning
by: Li, Zijian, et al.
Published: (2025)

Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
by: Chen, Xuexin, et al.
Published: (2024)

Causality-Inspired Robustness for Nonlinear Models via Representation Learning
by: Šola, Marin, et al.
Published: (2025)

Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data
by: Luo, Gongxu, et al.
Published: (2025)

A Sensitivity Approach to Causal Inference Under Limited Overlap
by: Ma, Yuanzhe, et al.
Published: (2025)

LLM Sparsity Prior for Robust Feature Selection
by: Skinner, Caleb, et al.
Published: (2026)

A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
by: Du, Honglin, et al.
Published: (2026)

Causal Unit Selection using Tractable Arithmetic Circuits
by: Huang, Haiying, et al.
Published: (2024)

HNCI: High-Dimensional Network Causal Inference
by: Du, Wenqin, et al.
Published: (2024)

Selective Induction Heads: How Transformers Select Causal Structures In Context
by: D'Angelo, Francesco, et al.
Published: (2025)

Discrete Causal Representation Learning
by: Zhang, Wenjin, et al.
Published: (2026)

Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
by: Chen, Li, et al.
Published: (2026)

Reinforcement Learning for Causal Discovery without Acyclicity Constraints
by: Duong, Bao, et al.
Published: (2024)

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
by: Yang, Tianyu, et al.
Published: (2025)

Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
by: Wang, Zhenyu, et al.
Published: (2023)

Causal Discovery in Multivariate Time Series through Mutual Information Featurization
by: Paldino, Gian Marco, et al.
Published: (2025)

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
by: Ying, Chao, et al.
Published: (2025)

Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
by: Sheth, Ivaxi, et al.
Published: (2024)

On Prediction Feature Assignment in the Heckman Selection Model
by: Mai, Huy, et al.
Published: (2023)

Causal-learn: Causal Discovery in Python
by: Zheng, Yujia, et al.
Published: (2023)

Diffusion-Driven High-Dimensional Variable Selection
by: Wang, Minjie, et al.
Published: (2025)

2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
by: Nouraie, Mahdi, et al.
Published: (2026)

Causality-oriented robustness: exploiting general noise interventions
by: Shen, Xinwei, et al.
Published: (2023)

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
by: Lin, Yingyu, et al.
Published: (2024)

Causal Inference with Latent Variables: Recent Advances and Future Prospectives
by: Zhu, Yaochen, et al.
Published: (2024)