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2106.06902
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Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence
13 June 2021
S. Yonekura
S. Sugasawa
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Papers citing
"Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence"
17 / 17 papers shown
Title
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
46
79
0
15 Apr 2021
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
85
66
0
23 Jul 2020
Generalized Bayesian Filtering via Sequential Monte Carlo
Ayman Boustati
Ömer Deniz Akyildiz
Theodoros Damoulas
A. M. Johansen
44
4
0
23 Feb 2020
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
126
74
0
29 Sep 2019
On the marginal likelihood and cross-validation
Edwin Fong
Chris Holmes
UQCV
92
110
0
21 May 2019
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
72
2,482
0
19 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
DRL
BDL
69
106
0
03 Apr 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings
Lawrence Middleton
George Deligiannidis
Arnaud Doucet
Pierre E. Jacob
39
21
0
05 Feb 2019
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with
β
β
β
-Divergences
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
42
58
0
06 Jun 2018
Principles of Bayesian Inference using General Divergence Criteria
Jack Jewson
Jim Q. Smith
Chris Holmes
40
88
0
26 Feb 2018
On Hölder projective divergences
Frank Nielsen
Ke Sun
Stéphane Marchand-Maillet
38
24
0
14 Jan 2017
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Bayesian Model Selection Based on Proper Scoring Rules
Philip Dawid
M. Musio
40
58
0
18 Sep 2014
Minimum scoring rule inference
A. Dawid
M. Musio
L. Ventura
56
67
0
16 Mar 2014
On the Convergence of Adaptive Sequential Monte Carlo Methods
A. Beskos
Ajay Jasra
N. Kantas
Alexandre Hoang Thiery
68
93
0
27 Jun 2013
A General Framework for Updating Belief Distributions
Pier Giovanni Bissiri
Chris Holmes
S. Walker
157
472
0
27 Jun 2013
Monte Carlo maximum likelihood estimation for discretely observed diffusion processes
A. Beskos
O. Papaspiliopoulos
Gareth O. Roberts
86
85
0
02 Mar 2009
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