Patrick Kolpaczki

According to our database, Patrick Kolpaczki authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Approximating Shapley Interactions with Marginal Contributions.

Patrick Kolpaczki, Felix Edelmann, Maximilian Muschalik, Eyke Hüllermeier

Mach. Learn., June, 2026

Shapley Value Approximation Based on k-Additive Games.

Guilherme Dean Pelegrina, Patrick Kolpaczki, Eyke Hüllermeier

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Antithetic Sampling for Top-K Shapley Identification.

Patrick Kolpaczki, Tim Nielen, Eyke Hüllermeier

Proceedings of the Explainable Artificial Intelligence, 2025

2024

Piecewise-Stationary Dueling Bandits.

Patrick Kolpaczki, Eyke Hüllermeier, Viktor Bengs

Trans. Mach. Learn. Res., 2024

How Much Can Stratification Improve the Approximation of Shapley Values?

Patrick Kolpaczki, Georg Haselbeck, Eyke Hüllermeier

Proceedings of the Explainable Artificial Intelligence, 2024

shapiq: Shapley Interactions for Machine Learning.

Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.

Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Approximating the Shapley Value without Marginal Contributions.

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik, Eyke Hüllermeier

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Approximating the Shapley Value without Marginal Contributions.

Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier

CoRR, 2023

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

Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Non-Stationary Dueling Bandits.

Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier

CoRR, 2022

2021

Identifying Top-k Players in Cooperative Games via Shapley Bandits.

Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier

Proceedings of the LWDA 2021 Workshops: FGWM, 2021