2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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【2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]】  p_bar(x) = p(x,e)
p(x) is p(x|e)
 
p_bar is hard to estimate,
but p(x) is easy
and p(x) \\propotion p_bar
 
2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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q is easier for sampling, while we cant sample from p
 
 
2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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Occam\'s Razor???
 
 
2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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2018 10-708 (CMU) Probabilistic Graphical Models {Lecture 15} [Mean field Approximation]

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