Identifying Top-k Players in Cooperative Games via Shapley Bandits. - Patrick Kolpaczki; Viktor Bengs; Eyke Hüllermeier (LWDA, 2021)

Non-Stationary Dueling Bandits. - Patrick Kolpaczki; Viktor Bengs; Eyke Hüllermeier (CoRR, 2022)

SHAP-IQ: Unified Approximation of any-order Shapley Interactions. - Fabian Fumagalli; Maximilian Muschalik; Patrick Kolpaczki; Eyke Hüllermeier; Barbara Hammer (NeurIPS, 2023)

Approximating the Shapley Value without Marginal Contributions. - Patrick Kolpaczki; Viktor Bengs; Eyke Hüllermeier (CoRR, 2023)

Approximating the Shapley Value without Marginal Contributions. - Patrick Kolpaczki; Viktor Bengs; Maximilian Muschalik; Eyke Hüllermeier (AAAI, 2024)

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. - Patrick Kolpaczki; Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier (AISTATS, 2024)

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. - Fabian Fumagalli; Maximilian Muschalik; Patrick Kolpaczki; Eyke Hüllermeier; Barbara Hammer (ICML, 2024)

shapiq: Shapley Interactions for Machine Learning. - Maximilian Muschalik; Hubert Baniecki; Fabian Fumagalli; Patrick Kolpaczki; Barbara Hammer; Eyke Hüllermeier (NeurIPS, 2024)

How Much Can Stratification Improve the Approximation of Shapley Values? - Patrick Kolpaczki; Georg Haselbeck; Eyke Hüllermeier (xAI (2), 2024)

Piecewise-Stationary Dueling Bandits. - Patrick Kolpaczki; Eyke Hüllermeier; Viktor Bengs (Trans. Mach. Learn. Res., 2024)

Shapley Value Approximation Based on k-Additive Games. - Guilherme Dean Pelegrina; Patrick Kolpaczki; Eyke Hüllermeier (CoRR, 2025)

Antithetic Sampling for Top-k Shapley Identification. - Patrick Kolpaczki; Tim Nielen; Eyke Hüllermeier (CoRR, 2025)