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stochastic gradient hamiltonian monte carlo

11 papers

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Also known as

SGHMC

Co-occurring keywords · papers mentioning both

bayesian inference (7) markov chain monte carlo (5) hamiltonian monte carlo (4) stochastic gradient (3) langevin dynamics (3) deep gaussian process (2) variational inference (2) wasserstein distance (2) metropolis-hastings correction (1) bayesian logistic regression (1)

Papers

ReBaPL: Repulsive Bayesian Prompt Learning CVPR 2026 Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024 Exploration and Estimation for Model Compression ICCV 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NeurIPS 2019 Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018 Bayesian GAN NeurIPS 2017 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Stochastic Gradient Hamiltonian Monte Carlo ICML 2014