Contact
Ludwig-Maximilians-Universität München
Institute of Informatics
Chair of Artificial Intelligence and Machine Learning
Prof. Dr. Eyke Hüllermeier
Akademiestr.7
80799 München
Institute of Informatics
Chair of Artificial Intelligence and Machine Learning
Prof. Dr. Eyke Hüllermeier
Akademiestr.7
80799 München
Room:
113
Phone:
+49 (0)89 2180 73462
Email:
patrick.kolpaczki@ifi.lmu.de
Website:
Google Scholar profile
Research focus
My research goal is to develop better approximation techniques for the Shapley value. A game-theoretic concept to fairly distribute collective benefits achieved by a group of agents. It is commonly used in Explainable AI to attribute feature importance but also quantify the significance of data points, base learners in ensembles, and neurons in neural networks, among many other applications.
Research areas
- Explainable AI, Bandit Algorithms
Publications
-
(2021)
Identifying Top-k Players in Cooperative Games via Shapley Bandits
LWDA’21: Lernen, Wissen, Daten, Analysen, 1. - 3. September, 2021, Munich, Germany