:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chang, Tien-En, Chen, Argon
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.10853
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding and Using the Relative Importance Measures Based on Orthogonalization and Reallocation
by: Chang, Tien-En, et al.
Published: (2025)

Challenges in Variable Importance Ranking Under Correlation
by: Liang, Annie, et al.
Published: (2024)

Importance-Guided Basis Selection for Low-Rank Decomposition of Large Language Models
by: Asante, Daniel Agyei, et al.
Published: (2026)

Learning Preference from Observed Rankings
by: Chen, Yu-Chang, et al.
Published: (2026)

Factor Importance Ranking and Selection using Total Indices
by: Huang, Chaofan, et al.
Published: (2024)

Top-$k$ Feature Importance Ranking
by: Chen, Yuxi, et al.
Published: (2025)

How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
by: Maitra, Ishaan, et al.
Published: (2025)

Statistical Significance of Feature Importance Rankings
by: Goldwasser, Jeremy, et al.
Published: (2024)

Targeted Learning for Variable Importance
by: Wang, Xiaohan, et al.
Published: (2024)

Learn to Rank: Visual Attribution by Learning Importance Ranking
by: Schinagl, David, et al.
Published: (2026)

The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
by: Donnelly, Jon, et al.
Published: (2023)

Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
by: Paillard, Joseph, et al.
Published: (2024)

Bi-objective Ranking and Selection Using Stochastic Kriging
by: Gonzalez, Sebastian Rojas, et al.
Published: (2022)

MMD-based Variable Importance for Distributional Random Forest
by: Bénard, Clément, et al.
Published: (2023)

HawkesRank: Event-Driven Centrality for Real-Time Importance Ranking
by: Sornette, Didier, et al.
Published: (2026)

Regional Explanations: Bridging Local and Global Variable Importance
by: Amoukou, Salim I., et al.
Published: (2026)

Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
by: Paillard, Joseph, et al.
Published: (2025)

Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals
by: Kruse, Liam A., et al.
Published: (2025)

Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
by: Zhang, Haochen, et al.
Published: (2025)

Learning Discrete Latent Variable Structures with Tensor Rank Conditions
by: Chen, Zhengming, et al.
Published: (2024)

Patch Ranking: Efficient CLIP by Learning to Rank Local Patches
by: Wu, Cheng-En, et al.
Published: (2024)

Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
by: Donnelly, Jon, et al.
Published: (2025)

Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing
by: Guo, Wanru, et al.
Published: (2026)

Deep Variable-Block Chain with Adaptive Variable Selection
by: Zhang, Lixiang, et al.
Published: (2019)

Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests
by: Nakamura, Tomoshige, et al.
Published: (2025)

Learning to Rank with Variable Result Presentation Lengths
by: Knyazev, Norman, et al.
Published: (2025)

Sequential Knockoffs for Variable Selection in Reinforcement Learning
by: Ma, Tao, et al.
Published: (2023)

AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
by: Zhou, Ruihan, et al.
Published: (2024)

IMPACT: Importance-Aware Activation Space Reconstruction
by: Chowdhury, Md Mokarram, et al.
Published: (2025)

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
by: Li, Jiyong, et al.
Published: (2024)

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics
by: Bowen, Tian, et al.
Published: (2024)

CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
by: Chang, Tien-Yu, et al.
Published: (2024)

Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
by: Morzywolek, Pawel, et al.
Published: (2025)

Automating the Selection of Proxy Variables of Unmeasured Confounders
by: Xie, Feng, et al.
Published: (2024)

Copycat vs. Original: Multi-modal Pretraining and Variable Importance in Box-office Prediction
by: Chao, Qin, et al.
Published: (2025)

MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
by: Xu, Ming, et al.
Published: (2023)

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

Additive Distributionally Robust Ranking and Selection
by: Li, Zaile, et al.
Published: (2025)

Low Rank Multi-Dictionary Selection at Scale
by: Ma, Boya, et al.
Published: (2024)

Lazy FSCA for Unsupervised Variable Selection
by: Zocco, Federico, et al.
Published: (2021)