SymmetryML is a blog on machine learning models that provably capture some underlying symmetry of our data, such as group (and permutation) invariance (and equivariance).
Posts
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Expectation-Maximization
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Gaussian Processes
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Functional Gradient Descent
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A Review of Constrained Optimization Theory
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Moving Over!
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Interlacing of Eigenvalues
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Solving a Logical Puzzle with Rank-Nullity
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Making Sense of Finite Fields
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Finite Fields and Cauchy's Theorem
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Menger's Theorem with Max-Flow Min-Cut
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Max-Flow Min-Cut with Linear Programming
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