5 citations · 5 across the 2 of their papers we have counts for
4 papers · 1 filter
Antithetic Sampling for Top-k Shapley Identification
Patrick Kolpaczki, Tim Nielen, Eyke Hüllermeier
Additive feature explanations rely primarily on game-theoretic notions such as the Shapley value by viewing features as cooperating players. The Shapley value's popularity in and o…
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…
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-…
Non-Stationary Dueling Bandits
Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier
We study the non-stationary dueling bandits problem with arms, where the time horizon consists of stationary segments, each of which is associated with its own preferen…