valuationgame.github.io - Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning | Energy-Based Learning

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Description: Valuation Games

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Valuation Games

Valuation problems, such as feature interpretation, data valuation and model valuation for ensembles, become increasingly more important in many machine learning applications. Such problems are commonly addressed via well-known game-theoretic criteria, such as the Shapley value or Banzhaf value. In this work, we present a novel energy-based treatment for cooperative games, with a theoretical justification by the maximum entropy principle. Surprisingly, by conducting mean-field variational inference of the e

Video: https://iclr.cc/virtual/2022/poster/6807

Links to valuationgame.github.io (1)

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