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stochastic gradient mcmc

10 papers

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markov chain monte carlo (6) bayesian inference (5) bayesian deep learning (3) neural network (2) stochastic gradient (2) cold start (1) self-adversarial learning (1) communication-efficient learning (1) stochastic kinetics (1) conditional generator (1)

Papers

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning ICLR 2020 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Self-Adversarially Learned Bayesian Sampling AAAI 2019 Deep Poisson gamma dynamical systems NeurIPS 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017 Stochastic Gradient Monomial Gamma Sampler ICML 2017 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015