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Markov models / Classical mechanics / Symplectic integrator / Geodesic / Markov chain / Constraint algorithm / Hamiltonian / Physics / Hamiltonian mechanics / Symplectic geometry


A Family of MCMC Methods on Implicitly Defined Manifolds Marcus A Brubaker∗,† Mathieu Salzmann† University of Toronto
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Document Date: 2014-08-28 17:44:52

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City

Berlin / /

Company

Imperial College Press / /

Country

Jordan / /

Facility

University of British Columbia / Brown University / Toyota Technological Institute / University of Toronto / Mathieu Salzmann† University of Toronto / /

IndustryTerm

energy function / kinetic energy / potential energy / shake algorithm / constrained hamiltonian systems / free energy differences / Free energy computations / /

NaturalFeature

Canary Islands / /

Organization

Royal Statistical Society / National Science Foundation / Brown University / Department of Computer Science / Toyota Technological Institute / University of British Columbia / University of Toronto / /

Person

Marcus A Brubaker / J. T. Kent / T. Hamelryck / Raquel Urtasun / A. Krogh / Tq / /

Position

Mises-Fisher Distribution Distributions / Binghamvon Mises-Fisher / P. D.L. Constable / and F. Er / von Mises-Fisher / Mises-Fisher / kinematics and von mises-fisher / /

ProgrammingLanguage

E / L / /

ProvinceOrState

British Columbia / /

PublishedMedium

Journal of the Royal Statistical Society / Mathematical Geology / Machine Learning / Journal of Computational Physics / PLoS Computational Biology / /

Technology

shake algorithm / artificial intelligence / CLangevin algorithms / unconstrained Metropolis algorithm / generalized RATTLE algorithm / Constrained Metropolis algorithm / http / machine learning / Constrained Hamiltonian Monte Carlo algorithm / simulation / HMC-type algorithms / Monte Carlo algorithms / /

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