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hamiltonian monte carlo

92 papers

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Also known as

HMC

Co-occurring keywords

markov chain monte carlo (725) bayesian inference (1907) stochastic gradient (296) stochastic process (388) posterior distribution (259) variational inference (2069) bayesian neural network (201) mcmc sampling (70) sampling method (109) sampling algorithm (130)

Papers

Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025
Direct Amortized Likelihood Ratio Estimation AAAI 2024
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NIPS 2024
Piecewise deterministic generative models NIPS 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023
Automatically marginalized MCMC in probabilistic programming ICML 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NIPS 2023
Structured Voronoi Sampling NIPS 2023
FlowPG: Action-constrained Policy Gradient with Normalizing Flows NIPS 2023
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023
Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023
Microcanonical Hamiltonian Monte Carlo JMLR 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023
Model-based Validation as Probabilistic Inference L4DC 2023
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NIPS 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes AISTATS 2022
Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NIPS 2022
Fixed-Distance Hamiltonian Monte Carlo NIPS 2022
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
Pseudo-Marginal Hamiltonian Monte Carlo JMLR 2021