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Neural Network Gradient Hamiltonian Monte Carlo
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Neural Network Gradient Hamiltonian Monte Carlo

Lingge Li
Andrew J Holbrook
Babak Shahbaba
Pierre Baldi
    BDL
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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
113
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