Cover Image

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohammadi, Majid, Muandet, Krikamol, Tiddi, Ilaria, Teije, Annette Ten, Chau, Siu Lun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
by: Mohammadi, Majid, et al.
Published: (2025)

QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
by: Mohammadi, Majid, et al.
Published: (2026)

When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
by: Caprio, Michele, et al.
Published: (2025)

Instrumental and Proximal Causal Inference with Gaussian Processes
by: Zhang, Yuqi, et al.
Published: (2026)

Truthful Elicitation of Imprecise Forecasts
by: Singh, Anurag, et al.
Published: (2025)

Integral Imprecise Probability Metrics
by: Chau, Siu Lun, et al.
Published: (2025)

Domain Generalisation via Imprecise Learning
by: Singh, Anurag, et al.
Published: (2024)

Establishing Shared Query Understanding in an Open Multi-Agent System
by: Kondylidis, Nikolaos, et al.
Published: (2023)

Quantification of Credal Uncertainty: A Distance-Based Approach
by: Gonzalez-Garcia, Xabier, et al.
Published: (2026)

Causal Strategic Learning with Competitive Selection
by: Vo, Kiet Q. H., et al.
Published: (2023)

Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities
by: Yang, Anita, et al.
Published: (2026)

Kernel Quantile Embeddings and Associated Probability Metrics
by: Naslidnyk, Masha, et al.
Published: (2025)

Incentive Aware AI Regulations: A Credal Characterisation
by: Singh, Anurag, et al.
Published: (2026)

Credal Two-Sample Tests of Epistemic Uncertainty
by: Chau, Siu Lun, et al.
Published: (2024)

Explanation Design in Strategic Learning: Sufficient Explanations that Induce Non-harmful Responses
by: Vo, Kiet Q. H., et al.
Published: (2025)

(Im)possibility of Collective Intelligence
by: Muandet, Krikamol
Published: (2022)

Data Augmentation for Instruction Following Policies via Trajectory Segmentation
by: Höpner, Niklas, et al.
Published: (2025)

"Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teaching
by: Kondylidis, Nikolaos, et al.
Published: (2025)

Sufficient Invariant Learning for Distribution Shift
by: Kim, Taero, et al.
Published: (2022)

Performative Learning Theory
by: Rodemann, Julian, et al.
Published: (2026)

Exactly Computing do-Shapley Values
by: Witter, R. Teal, et al.
Published: (2026)

Automatic Evaluation Metrics for Artificially Generated Scientific Research
by: Höpner, Niklas, et al.
Published: (2025)

From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
by: Xu, Jiaxin, et al.
Published: (2025)

Explaining Large Language Models Decisions Using Shapley Values
by: Mohammadi, Behnam
Published: (2024)

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
by: Muschalik, Maximilian, et al.
Published: (2025)

Multi-Objective Constraint Inference using Inverse reinforcement learning
by: Shah, Syed Ihtesham Hussain, et al.
Published: (2026)

Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
by: Zhang, Chongsheng, et al.
Published: (2026)

Bayesian Optimization for Building Social-Influence-Free Consensus
by: Adachi, Masaki, et al.
Published: (2025)

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution
by: Patel, Sara, et al.
Published: (2025)

Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
by: Fan, Wangxuan, et al.
Published: (2025)

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
by: Wang, Jingtan, et al.
Published: (2024)

AXIL: Exact Instance Attribution for Gradient Boosting
by: Geertsema, Paul, et al.
Published: (2023)

Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
by: Boetius, David, et al.
Published: (2026)

Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections
by: Singh, Anurag, et al.
Published: (2023)

Suboptimal Shapley Value Explanations
by: Lu, Xiaolei
Published: (2025)

An Odd Estimator for Shapley Values
by: Fumagalli, Fabian, et al.
Published: (2026)

On the Inflation of KNN-Shapley Value
by: Yang, Ziao, et al.
Published: (2024)

Explaining Drift using Shapley Values
by: Edakunni, Narayanan U., et al.
Published: (2024)

shapiq: Shapley Interactions for Machine Learning
by: Muschalik, Maximilian, et al.
Published: (2024)

In-Run Data Shapley for Adam Optimizer
by: Ding, Meng, et al.
Published: (2026)