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Patrick Kolpaczki

4 papers hereh-index 7240 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.GT1

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

shapiq: Shapley Interactions for Machine Learning

Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli +3

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 attributio…

cs.LG2024

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

Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki +2

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-…

cs.GT2024

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

Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli +2

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 o…

cs.LG2024

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik +1

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…

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