Magnetic Hamiltonian Monte Carlo

Hybrid Monte Carlo

Duane, Simon, Kennedy, A. D., Pendleton, Brian J., and Roweth, Duncan · 1987

Earlier work this paper cites.

Mathematical Methods of Classical Mechanics

Arnold, Vladimir · 1989

Earlier work this paper cites.

Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination

Green, Peter J · 1995

Earlier work this paper cites.

Bayesian Learning for Neural Networks , volume 118

Neal, Radford · 1996

Earlier work this paper cites.

Lifting markov chains to speed up mixing

Chen, Fang, Lovász, László, and Pak, Igor · 1999

Earlier work this paper cites.

Adaptive proposal distribution for random walk metropolis algorithm

Haario, Heikki, Saksman, Eero, and Tamminen, Johanna · 1999

Earlier work this paper cites.

Slice Sampling: Rejoinder, 2003

Neal, Radford M · 2003

Earlier work this paper cites.

Monte Carlo Statistical Methods , volume 95

Robert, Christian P and Casella, George · 2004

Earlier work this paper cites.

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Borgwardt, Karsten M., Gretton, Arthur, Rasch, Malte J., Kriegel, Hans Peter, Scholkopf, Bernhard, and Smola, Alex J · 2006

Cited alongside, same era.

Geometric Numerical Integration

Hairer, Ernst, Hochbruck, Marlis, Iserles, Arieh, and Lubich, Christian · 2006

Cited alongside, same era.

Parameter estimation for differential equations: A generalized smoothing approach

Ramsay, J. O., Hooker, G., Campbell, D., and Cao, J · 2007

Cited alongside, same era.

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Girolami, Mark, Calderhead, Ben, and Chin, Siu A · 2009

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Riemann manifold Langevin and Hamiltonian Monte Carlo methods

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Cited alongside, same era.

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Neal, Radford M · 2011

Cited alongside, same era.

Hamiltonian Monte Carlo Without Detailed Balance

Sohl-Dickstein, J, Mudigonda, Mayur, and DeWeese, M · 2014

Later among the works it cites.

Semi-separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models

Original

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Later among the works it cites.

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Later among the works it cites.

A Complete Recipe for Stochastic Gradient MCMC

Ma, Yi-an, Chen, Tianqi, and Fox, Emily B · 2015

Later among the works it cites.

Irreversible Langevin Samplers and Variance Reduction: a Large Deviations Approach

Rey-Bellet, Luc and Spiliopoulos, Konstantinos · 2015

Later among the works it cites.

Journal of Statistical Software Stan : A Probabilistic Programming Language