Pages that link to "Item:Q2657917"

The following pages link to Nonasymptotic bounds for sampling algorithms without log-concavity (Q2657917):

Displaying 28 items.

• Approximation of heavy-tailed distributions via stable-driven SDEs (Q2040106) (← links)
• Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials (Q2083423) (← links)
• Central limit theorem and self-normalized Cramér-type moderate deviation for Euler-Maruyama scheme (Q2137002) (← links)
• Improved bounds for discretization of Langevin diffusions: near-optimal rates without convexity (Q2137032) (← links)
• Stochastic gradient Hamiltonian Monte Carlo for non-convex learning (Q2137760) (← links)
• Strict Kantorovich contractions for Markov chains and Euler schemes with general noise (Q2157329) (← links)
• Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations (Q2302502) (← links)
• Quantitative contraction rates for Markov chains on general state spaces (Q2631852) (← links)
• Unifying presampling via concentration bounds (Q2695631) (← links)
• Maximum Entropy Methods for Texture Synthesis: Theory and Practice (Q4999346) (← links)
• Convergence of a particle approximation for the quasi-stationary distribution of a diffusion process: Uniform estimates in a compact soft case (Q5030238) (← links)
• (Q5053262) (← links)
• On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case (Q5162623) (← links)
• On Unifying the Space of ℓ₀-Sampling Algorithms (Q5232457) (← links)
• Theoretical Guarantees for Approximate Sampling from Smooth and Log-Concave Densities (Q5743237) (← links)
• Stochastic Gradient Markov Chain Monte Carlo (Q5857155) (← links)
• Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning (Q6136164) (← links)
• Multi-index antithetic stochastic gradient algorithm (Q6171790) (← links)
• The forward-backward envelope for sampling with the overdamped Langevin algorithm (Q6173566) (← links)
• Linear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients (Q6540040) (← links)
• Contraction and convergence rates for discretized kinetic Langevin dynamics (Q6552475) (← links)
• NF-ULA: normalizing flow-based unadjusted Langevin algorithm for imaging inverse problems (Q6556790) (← links)
• Optimal Markovian coupling for finite activity Lévy processes (Q6589575) (← links)
• Asymptotic bias of inexact Markov chain Monte Carlo methods in high dimension (Q6616867) (← links)
• Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting (Q6640899) (← links)
• Geometric ergodicity of SGLD via reflection coupling (Q6649861) (← links)
• \(L^2\)-Wasserstein contraction for Euler schemes of elliptic diffusions and interacting particle systems (Q6658923) (← links)
• Contraction rate estimates of stochastic gradient kinetic Langevin integrators (Q6667313) (← links)