Pages that link to "Item:Q2174987"

The following pages link to On sampling from a log-concave density using kinetic Langevin diffusions (Q2174987):

Displaying 38 items.

• Sampling from log-concave distributions (Q1336592) (← links)
• Sampling from a log-concave distribution with projected Langevin Monte Carlo (Q1650786) (← links)
• Simulating Coulomb and log-gases with hybrid Monte Carlo algorithms (Q1731001) (← links)
• Is there an analog of Nesterov acceleration for gradient-based MCMC? (Q2040101) (← links)
• Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation (Q2058738) (← links)
• Improved bounds for discretization of Langevin diffusions: near-optimal rates without convexity (Q2137032) (← links)
• Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference (Q2137043) (← links)
• Constrained ensemble Langevin Monte Carlo (Q2148951) (← links)
• Complexity of zigzag sampling algorithm for strongly log-concave distributions (Q2152554) (← links)
• Couplings for Andersen dynamics (Q2155520) (← links)
• High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion (Q2233568) (← links)
• A path sampling identity for computing the Kullback-Leibler and J divergences (Q2445627) (← links)
• Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems (Q2676921) (← links)
• NySALT: Nyström-type inference-based schemes adaptive to large time-stepping (Q2683252) (← links)
• Sampling Gaussian distributions in Krylov spaces with conjugate gradients (Q2909297) (← links)
• (Q4998932) (← links)
• (Q5053193) (← links)
• (Q5053256) (← links)
• (Q5053262) (← links)
• Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration (Q5058053) (← links)
• On Irreversible Metropolis Sampling Related to Langevin Dynamics (Q5095483) (← links)
• (Q5159403) (← links)
• (Q5875524) (← links)
• On explicit \(L^2\)-convergence rate estimate for underdamped Langevin dynamics (Q6080951) (← links)
• Almost sure contraction for diffusions on \(\mathbb{R}^d\). Application to generalized Langevin diffusions (Q6157005) (← links)
• Optimal friction matrix for underdamped Langevin sampling (Q6181262) (← links)
• High Order Splitting Methods for SDEs Satisfying a Commutativity Condition (Q6190295) (← links)
• On sampling from a log-concave density using kinetic Langevin diffusions (Q6304609) (← links)
• Sampling algorithms in statistical physics: a guide for statistics and machine learning (Q6540237) (← links)
• On the dissipation of ideal Hamiltonian Monte Carlo sampler (Q6548889) (← links)
• Contraction and convergence rates for discretized kinetic Langevin dynamics (Q6552475) (← links)
• An entropic approach for Hamiltonian Monte Carlo: the idealized case (Q6590457) (← links)
• Mixing of Metropolis-adjusted Markov chains via couplings: the high acceptance regime (Q6595705) (← links)
• Global contractivity for Langevin dynamics with distribution-dependent forces and uniform in time propagation of chaos (Q6596215) (← links)
• Kinetic Langevin MCMC sampling without gradient Lipschitz continuity -- the strongly convex case (Q6614419) (← links)
• Contraction rate estimates of stochastic gradient kinetic Langevin integrators (Q6667313) (← links)
• High-dimensional sparse classification using exponential weighting with empirical hinge loss (Q6668598) (← links)
• Appropriate state-dependent friction coefficient accelerates kinetic Langevin dynamics (Q6669434) (← links)