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Found 5 papers, 1 papers with code
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo
Unlike Euclidean Hamiltonian Monte Carlo (EHMC) and the Metropolis-adjusted Langevin algorithm (MALA), the geometric ergodicity of these Riemannian algorithms has not been extensively studied.
Profiling of Intertextuality in Latin Literature Using Word Embeddings
Identifying intertextual relationships between authors is of central importance to the study of literature.
Manifold Density Estimation via Generalized Dequantization
For instance, some kinds of data may be known to lie on the surface of a sphere.
Magnetic Manifold Hamiltonian Monte Carlo
We introduce magnetic manifold HMC, an HMC algorithm on embedded manifolds motivated by the physics of particles constrained to a manifold and moving under magnetic field forces.
Non-Canonical Hamiltonian Monte Carlo
Hamiltonian Monte Carlo is typically based on the assumption of an underlying canonical symplectic structure.
