Cover Image

From SHAP Scores to Feature Importance Scores

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Letoffe, Olivier, Huang, Xuanxiang, Asher, Nicholas, Marques-Silva, Joao
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards trustable SHAP scores
by: Letoffe, Olivier, et al.
Published: (2024)

SHAP scores fail pervasively even when Lipschitz succeeds
by: Letoffe, Olivier, et al.
Published: (2024)

Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
by: Huang, Xuanxiang, et al.
Published: (2025)

Towards Rigorous Explainability by Feature Attribution
by: Létoffé, Olivier, et al.
Published: (2026)

The Explanation Game -- Rekindled (Extended Version)
by: Marques-Silva, Joao, et al.
Published: (2025)

Explainability is NOT a Game
by: Marques-Silva, Joao, et al.
Published: (2023)

From Robustness to Explainability and Back Again
by: Huang, Xuanxiang, et al.
Published: (2023)

SHAP-based Explanations are Sensitive to Feature Representation
by: Hwang, Hyunseung, et al.
Published: (2025)

Rigorous Explanations for Tree Ensembles
by: Izza, Yacine, et al.
Published: (2026)

Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss
by: Lee, Jungi, et al.
Published: (2026)

A Refutation of Shapley Values for Explainability
by: Huang, Xuanxiang, et al.
Published: (2023)

Adaptive-lambda Subtracted Importance Sampled Scores in Machine Unlearning for DDPMs and VAEs
by: Dini, MohammadParsa, et al.
Published: (2025)

CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors
by: Han, Jiaan, et al.
Published: (2024)

Fourier Feature Methods for Nonlinear Causal Discovery: FFML Scoring, TRFF Scoring, and FFCI Testing in Mixed Data
by: Ramsey, Joseph D.
Published: (2026)

Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
by: Choi, Minsik, et al.
Published: (2025)

FLEX: Feature Importance from Layered Counterfactual Explanations
by: Keshtmand, Nawid, et al.
Published: (2025)

Learning to Score
by: Kriger, Yogev, et al.
Published: (2025)

A Polynomial-Time Axiomatic Alternative to SHAP for Feature Attribution
by: Hiraki, Kazuhiro, et al.
Published: (2026)

Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
by: Alberge, Julie, et al.
Published: (2024)

Score-Regularized Joint Sampling with Importance Weights for Flow Matching
by: Liu, Xinshuang, et al.
Published: (2025)

PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026)

Interaction Tensor SHAP
by: Hasegawa, Hiroki, et al.
Published: (2025)

Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation
by: Izza, Yacine, et al.
Published: (2024)

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

Analyzing limits for in-context learning
by: Naim, Omar, et al.
Published: (2025)

Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
by: Ospanov, Azim, et al.
Published: (2024)

OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation
by: Zhang, Yiming, et al.
Published: (2025)

Score-based Generative Modeling for Conditional Independence Testing
by: Ren, Yixin, et al.
Published: (2025)

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)
by: Röchner, Philipp, et al.
Published: (2024)

Generative Score Inference for Multimodal Data
by: Tian, Xinyu, et al.
Published: (2026)

Quaternion Self-Attention with Shared Scores
by: Yamauchi, Shogo, et al.
Published: (2026)

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2025)

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
by: Palakkadavath, Ragja, et al.
Published: (2022)

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions
by: Jayashankar, Tejas, et al.
Published: (2025)

BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring
by: Yang, Zhangfan, et al.
Published: (2026)

SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
by: Lee, Seongju, et al.
Published: (2022)

Supervised Score-Based Modeling by Gradient Boosting
by: Zhao, Changyuan, et al.
Published: (2024)

Score-based Idempotent Distillation of Diffusion Models
by: Zaman, Shehtab, et al.
Published: (2025)

Hyperparameters in Score-Based Membership Inference Attacks
by: Pradhan, Gauri, et al.
Published: (2025)

Extended Histogram-based Outlier Score (EHBOS)
by: Islam, Tanvir
Published: (2025)