
Do-calculus computes interventional probabilities from observational data
Image: Author : Nicolas Larchet No machine-readable author provided. Nlarch1~commonswiki assumed (based on copyright claims), CC BY-SA 3.0, via Wikimedia Commons
Do-calculus computes interventional probabilities from observational data
log-probabilities are used instead of probabilities: avoids numerical underflow
Log-probabilities convert multiplications into additions, preventing numerical underflow
Manifold hypothesis
High-dimensional data lies on lower-dimensional manifolds
Lambda calculus
Lambda calculus represents data using only functions
Variational autoencoder
ELBO formula in variational inference
Tangent space
Tangent vectors map to manifold points via the exponential map
Causal model
Causal models use DAGs to represent causal relationships
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