On Irreversible Metropolis Sampling Related to Langevin Dynamics
From MaRDI portal
Publication:5095483
DOI10.1137/21M1423701zbMath1492.65015arXiv2106.03012OpenAlexW4295988097MaRDI QIDQ5095483
Publication date: 9 August 2022
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2106.03012
Markov chain Monte CarloLangevin dynamicsHamiltonian Monte CarloMetropolis-Hastings samplinggeneralized reversibility
Cites Work
- Variance reduction using nonreversible Langevin samplers
- Improving the convergence of reversible samplers
- Optimal non-reversible linear drift for the convergence to equilibrium of a diffusion
- A patch that imparts unconditional stability to explicit integrators for Langevin-like equations
- Optimal linear drift for the speed of convergence of an hypoelliptic diffusion
- Accelerating Gaussian diffusions
- Exponential convergence of Langevin distributions and their discrete approximations
- Two-scale coupling for preconditioned Hamiltonian Monte Carlo in infinite dimensions
- HMC: reducing the number of rejections by not using leapfrog and some results on the acceptance rate
- Langevin thermostat for robust configurational and kinetic sampling
- On sampling from a log-concave density using kinetic Langevin diffusions
- Optimal scaling of the MALA algorithm with irreversible proposals for Gaussian targets
- High-dimensional Bayesian inference via the unadjusted Langevin algorithm
- Couplings and quantitative contraction rates for Langevin dynamics
- Irreversible samplers from jump and continuous Markov processes
- Coupling and convergence for Hamiltonian Monte Carlo
- Pathwise accuracy and ergodicity of metropolized integrators for SDEs
- Handbook of Markov Chain Monte Carlo
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
- Rational Construction of Stochastic Numerical Methods for Molecular Sampling
- Equation of State Calculations by Fast Computing Machines
- Scaling Limits for the Transient Phase of Local Metropolis–Hastings Algorithms
- Numerical Methods for Second‐Order Stochastic Differential Equations
- Monte Carlo sampling methods using Markov chains and their applications
- Theoretical Guarantees for Approximate Sampling from Smooth and Log-Concave Densities
- A function space HMC algorithm with second order Langevin diffusion limit
- Hamiltonian-Assisted Metropolis Sampling
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: On Irreversible Metropolis Sampling Related to Langevin Dynamics