Singular Learning#
Some personal resources for understanding and applying singular learning theory. For more information, please read the textbook by Sumio Watanabe.
Algebraic methods for evaluating integrals in Bayesian statistics |
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Asymptotic approximation of marginal likelihood integrals |
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Useful facts about RLCT |
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What is singular learning theory? |
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Singular Learning Theory: A view from Algebraic Geometry |
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Computing resolutions: how and why |
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Computing integral asymptotics using toric blow-ups of ideals |
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Studying model asymptotics with Singular learning theory |
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Macaulay2 library for computing RLCTs using Newton polyhedra |
Motivic Invariants and Singularities#
My slides and problem sets on Singular Learning Theory from the Motivic Invariants and Singularities workshop at the Center for Mathematics at Notre Dame (May 2013).
Statistical Learning Theory |
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Real Log Canonical Threshold |
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Singularities in Graphical Models |
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Blow-ups and Zeta Functions |