2011
AISTATS
AISTATS 2011
A conditional game for comparing approximations
Abstract
We present a “conditional game” to be played between two approximate inference algorithms. We prove that exact inference is an optimal strategy and demonstrate how the game can be used to estimate the relative accuracy of two different approximations in the absence of exact marginals.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Trend Setter
— Game AI
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Keyword Pioneer
— game-theoretic analysis
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio
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Hot Topic Early Bird
— game theory