Pages that link to "Item:Q2834489"

The following pages link to Exploration of the (non-)asymptotic bias and variance of stochastic gradient Langevin dynamics (Q2834489):

Displaying 35 items.

• Asymptotic bias of stochastic gradient search (Q1704136) (← links)
• Markov chains in random environment with applications in queuing theory and machine learning (Q2029806) (← links)
• Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation (Q2058738) (← links)
• On the stability of the stochastic gradient Langevin algorithm with dependent data stream (Q2070610) (← links)
• Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics (Q2080357) (← links)
• An adaptive Hessian approximated stochastic gradient MCMC method (Q2128489) (← links)
• Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN (Q2137979) (← links)
• An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization (Q2159413) (← links)
• Measuring sample quality with diffusions (Q2286455) (← links)
• Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations (Q2302502) (← links)
• Control variates for stochastic gradient MCMC (Q2329787) (← links)
• Nonasymptotic bounds for sampling algorithms without log-concavity (Q2657917) (← links)
• Variance comparison between infinitesimal perturbation analysis and likelihood ratio estimators to stochastic gradient (Q2670503) (← links)
• Consistency and fluctuations for stochastic gradient Langevin dynamics (Q2810765) (← links)
• Stochastic gradient Langevin dynamics with adaptive drifts (Q3390482) (← links)
• (Q4449797) (← links)
• Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime (Q4627155) (← links)
• (Q4637029) (← links)
• Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau (Q4686924) (← links)
• (Q5053262) (← links)
• (Q5054622) (← links)
• (Q5149258) (← links)
• (Q5214185) (← links)
• (Q5381127) (← links)
• Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo (Q5856684) (← links)
• Stochastic Gradient Markov Chain Monte Carlo (Q5857155) (← links)
• Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal (Q5881093) (← links)
• ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion (Q6040682) (← links)
• Functional central limit theorem and strong law of large numbers for stochastic gradient Langevin dynamics (Q6073851) (← links)
• Improving sampling accuracy of stochastic gradient MCMC methods via non-uniform subsampling of gradients (Q6160667) (← links)
• Multi-index antithetic stochastic gradient algorithm (Q6171790) (← links)
• Contraction and convergence rates for discretized kinetic Langevin dynamics (Q6552475) (← links)
• Hybrid unadjusted Langevin methods for high-dimensional latent variable models (Q6554220) (← links)
• Some remarks on the effect of the random batch method on phase transition (Q6658917) (← links)
• Contraction rate estimates of stochastic gradient kinetic Langevin integrators (Q6667313) (← links)