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Hamiltonian ABC

Hamiltonian ABC

6 March 2015
Edward Meeds
R. Leenders
Max Welling
    BDL
ArXivPDFHTML

Papers citing "Hamiltonian ABC"

11 / 11 papers shown
Title
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans
Volodimir Begy
Gilles Louppe
19
20
0
10 Mar 2019
Mining gold from implicit models to improve likelihood-free inference
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer
Gilles Louppe
J. Pavez
Kyle Cranmer
AI4CE
TPM
20
180
0
30 May 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with
  Autoregressive Flows
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios
D. Sterratt
Iain Murray
BDL
33
358
0
18 May 2018
Flexible statistical inference for mechanistic models of neural dynamics
Flexible statistical inference for mechanistic models of neural dynamics
Jan-Matthis Lueckmann
P. J. Gonçalves
Giacomo Bassetto
Kaan Öcal
M. Nonnenmacher
Jakob H. Macke
30
240
0
06 Nov 2017
Pseudo-Marginal Hamiltonian Monte Carlo
Pseudo-Marginal Hamiltonian Monte Carlo
Johan Alenlöv
Arnaud Doucet
Fredrik Lindsten
20
22
0
08 Jul 2016
Automatic Variational ABC
Automatic Variational ABC
Alexander Moreno
T. Adel
Edward Meeds
James M. Rehg
Max Welling
15
12
0
28 Jun 2016
Asymptotically exact inference in differentiable generative models
Asymptotically exact inference in differentiable generative models
Matthew M. Graham
Amos J. Storkey
BDL
10
33
0
25 May 2016
Fast $ε$-free Inference of Simulation Models with Bayesian
  Conditional Density Estimation
Fast εεε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios
Iain Murray
TPM
28
158
0
20 May 2016
Optimization Monte Carlo: Efficient and Embarrassingly Parallel
  Likelihood-Free Inference
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
Edward Meeds
Max Welling
22
36
0
11 Jun 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential
  Families
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann
Dino Sejdinovic
Samuel Livingstone
Z. Szabó
A. Gretton
BDL
24
76
0
08 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
176
3,260
0
09 Jun 2012
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