conftrace_

hamiltonian monte carlo

92 papers

Explore in graph

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

An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Pseudo-Marginal Hamiltonian Monte Carlo JMLR 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021
High-Dimensional Gaussian Process Inference with Derivatives ICML 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting UAI 2021
Robustness between the worst and average case NIPS 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NIPS 2021
Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo COLT 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020
Hamiltonian Monte Carlo Swindles AISTATS 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NIPS 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks NIPS 2020
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NIPS 2020
Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
Co-Generation with GANs using AIS based HMC NIPS 2019