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Patrick Kolpaczki

7 accepted papers

2026

Shapley Value Approximation Based on k-Additive Games

AAAI 2026technical

The Shapley value is the prevalent solution for fair division problems in which a payout is to be divided among multiple agents. By adopting a game-theoretic view, the idea of fair division and the Shapley value can also be used in machine learning to quantify the individual contribution of features

Cited by 0SourcePDFScholar
2024

Approximating the Shapley Value without Marginal Contributions

AAAI 2024technical

The Shapley value, which is arguably the most popular approach for assigning a meaningful contribution value to players in a cooperative game, has recently been used intensively in explainable artificial intelligence. Its meaningfulness is due to axiomatic properties that only the Shapley value sati…

Cited by 30SourcePDFScholar
2024

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions

ICML 2024poster

The Shapley value (SV) is a prevalent approach of allocating credit to machine learning (ML) entities to understand black box ML models. Enriching such interpretations with higher-order interactions is inevitable for complex systems, where the Shapley Interaction Index (SII) is a direct axiomatic ex…

Cited by 12SourcePDFScholar
2024

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification

AISTATS 2024poster

Addressing the limitations of individual attribution scores via the Shapley value (SV), the field of explainable AI (XAI) has recently explored intricate interactions of features or data points. In particular, extensions of the SV, such as the Shapley Interaction Index (SII), have been proposed as a…

2024

shapiq: Shapley Interactions for Machine Learning

NeurIPS 2024poster

Originally rooted in game theory, the Shapley Value (SV) has recently become an important tool in machine learning research. Perhaps most notably, it is used for feature attribution and data valuation in explainable artificial intelligence. Shapley Interactions (SIs) naturally extend the SV and addr…

2023

SHAP-IQ: Unified Approximation of any-order Shapley Interactions

NeurIPS 2023poster

Predominately in explainable artificial intelligence (XAI) research, the Shapley value (SV) is applied to determine feature attributions for any black box model. Shapley interaction indices extend the SV to define any-order feature interactions. Defining a unique Shapley interaction index is an open…