langevin dynamics

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Mirrored Langevin Dynamics NeurIPS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018 A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI ICML 2017 Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017 Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NeurIPS 2017 Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017 A Theory of Generative ConvNet ICML 2016 Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Bayesian Sampling Using Stochastic Gradient Thermostats NeurIPS 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Stochastic Gradient Hamiltonian Monte Carlo ICML 2014 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013