ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.05307
  4. Cited By
Neural Network Gradient Hamiltonian Monte Carlo
v1v2 (latest)

Neural Network Gradient Hamiltonian Monte Carlo

14 November 2017
Lingge Li
Andrew J Holbrook
Babak Shahbaba
Pierre Baldi
    BDL
ArXiv (abs)PDFHTML

Papers citing "Neural Network Gradient Hamiltonian Monte Carlo"

6 / 6 papers shown
Title
Bayesian neural networks via MCMC: a Python-based tutorial
Bayesian neural networks via MCMC: a Python-based tutorial
Rohitash Chandra
Royce Chen
Joshua Simmons
BDL
115
11
0
02 Apr 2023
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte
  Carlo Method
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method
Duo Xu
Faramarz Fekri
67
8
0
22 Mar 2021
High-Dimensional Gaussian Process Inference with Derivatives
High-Dimensional Gaussian Process Inference with Derivatives
Filip de Roos
A. Gessner
Philipp Hennig
GP
66
17
0
15 Feb 2021
On the accept-reject mechanism for Metropolis-Hastings algorithms
On the accept-reject mechanism for Metropolis-Hastings algorithms
N. Glatt-Holtz
J. Krometis
Cecilia F. Mondaini
93
10
0
09 Nov 2020
Deep Markov Chain Monte Carlo
Deep Markov Chain Monte Carlo
Babak Shahbaba
L. M. Lomeli
T. Chen
Shiwei Lan
BDL
66
8
0
13 Oct 2019
Massive parallelization boosts big Bayesian multidimensional scaling
Massive parallelization boosts big Bayesian multidimensional scaling
Andrew J Holbrook
P. Lemey
G. Baele
S. Dellicour
D. Brockmann
A. Rambaut
M. Suchard
53
30
0
11 May 2019
1