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stochastic gradient markov chain monte carlo

11 papers

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Also known as

SG-MCMC SGMCMC

Co-occurring keywords · papers mentioning both

markov chain monte carlo (6) posterior sampling (4) bayesian inference (4) bayesian neural network (3) stochastic gradient (3) stochastic gradient langevin dynamics (2) quasi-newton method (2) bayesian learning (2) variational inference (2) neural network (1)

Papers

Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NeurIPS 2023 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Meta-Learning For Stochastic Gradient MCMC ICLR 2019 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NeurIPS 2016 Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016 Distributed Stochastic Gradient MCMC ICML 2014