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stochastic gradient langevin dynamics

60 papers

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Also known as

SGLD

Co-occurring keywords · papers mentioning both

bayesian inference (19) markov chain monte carlo (16) generalization bound (10) variance reduction (7) non-convex optimization (7) posterior distribution (6) differential privacy (6) markov chain (5) information theory (5) bayesian neural network (4)

Papers

Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis COLT 2017 Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016 Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NeurIPS 2016 Variance Reduction in Stochastic Gradient Langevin Dynamics NeurIPS 2016 Bayesian dark knowledge NeurIPS 2015 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013