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On the Convergence of Adaptive Sequential Monte Carlo Methods
The Annals of Applied Probability (Ann. Appl. Probab.), 2013
27 June 2013
A. Beskos
Ajay Jasra
N. Kantas
Alexandre Hoang Thiery
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Papers citing
"On the Convergence of Adaptive Sequential Monte Carlo Methods"
48 / 48 papers shown
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Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
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International Conference on Machine Learning (ICML), 2024
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11 Feb 2024
Self-reinforced polynomial approximation methods for concentrated probability densities
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05 Mar 2023
Tensor-train methods for sequential state and parameter learning in state-space models
Journal of machine learning research (JMLR), 2023
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Tiangang Cui
267
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24 Jan 2023
Bayesian score calibration for approximate models
Joshua J. Bon
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David J. Nott
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10 Nov 2022
Finite Sample Complexity of Sequential Monte Carlo Estimators on Multimodal Target Distributions
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205
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Tempered, Anti-trunctated, Multiple Importance Sampling
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355
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Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models
Social Science Research Network (SSRN), 2021
Andras Fulop
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Junye Li
320
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04 Jan 2022
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
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Mohammad Khalil
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Jiefu Chen
Xuqing Wu
Xin Fu
Cosmin Safta
Yueqin Huang
273
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03 Dec 2021
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence
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Annealed Flow Transport Monte Carlo
International Conference on Machine Learning (ICML), 2021
Michael Arbel
A. G. Matthews
Arnaud Doucet
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Accelerating sequential Monte Carlo with surrogate likelihoods
Statistics and computing (Stat. Comput.), 2020
Joshua J. Bon
Anthony Lee
Christopher C. Drovandi
362
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08 Sep 2020
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
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Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions
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Xin T. Tong
281
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29 Jun 2020
Generalized Parallel Tempering on Bayesian Inverse Problems
Statistics and computing (Stat. Comput.), 2020
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Juan P. Madrigal-Cianci
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Raúl Tempone
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Schrödinger Bridge Samplers
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Pierre E. Jacob
178
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Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation
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H. Eggers
Steve Kroon
130
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17 Nov 2019
Variance Estimation in Adaptive Sequential Monte Carlo
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Qiming Du
A. Guyader
137
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30 Sep 2019
Sequential Ensemble Transform for Bayesian Inverse Problems
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Aaron Myers
Alexandre Hoang Thiery
Kainan Wang
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415
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Multilevel Sequential Importance Sampling for Rare Event Estimation
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Fabian Wagner
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I. Papaioannou
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285
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Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo
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A. Clements
Christopher C. Drovandi
300
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Vector operations for accelerating expensive Bayesian computations -- a tutorial guide
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Scott A. Sisson
Christopher Drovandi Queensland University of Technology
293
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25 Feb 2019
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
Alexander K. Buchholz
Nicolas Chopin
Pierre E. Jacob
314
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23 Aug 2018
Global consensus Monte Carlo
Lewis J. Rendell
A. M. Johansen
Anthony Lee
N. Whiteley
420
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24 Jul 2018
A practical example for the non-linear Bayesian filtering of model parameters
Matthieu Bulté
J. Latz
E. Ullmann
226
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Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
R. Salomone
Leah F. South
A. M. Johansen
Christopher C. Drovandi
Dirk P. Kroese
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10 May 2018
Subsampling Sequential Monte Carlo for Static Bayesian Models
David Gunawan
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
415
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08 May 2018
Bayesian parameter identification in Cahn-Hilliard models for biological growth
Christian Kahle
K. F. Lam
J. Latz
E. Ullmann
364
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08 May 2018
Finite Sample Complexity of Sequential Monte Carlo Estimators
J. Marion
Joseph Mathews
S. Schmidler
277
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25 Mar 2018
Particle Filtering for Stochastic Navier-Stokes Signal Observed with Linear Additive Noise
Francesc Pons Llopis
N. Kantas
A. Beskos
Ajay Jasra
243
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12 Oct 2017
Multilevel Sequential
2
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J. Latz
I. Papaioannou
E. Ullmann
247
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Controlled Sequential Monte Carlo
J. Heng
A. Bishop
George Deligiannidis
Arnaud Doucet
311
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Advanced Multilevel Monte Carlo Methods
Ajay Jasra
K. Law
C. Suciu
210
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24 Apr 2017
Learning of state-space models with highly informative observations: a tempered Sequential Monte Carlo solution
Andreas Svensson
Thomas B. Schon
Fredrik Lindsten
214
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06 Feb 2017
Monte Carlo Confidence Sets for Identified Sets
Xiaohong Chen
T. Christensen
E. Tamer
295
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02 May 2016
Rare Event Simulation and Splitting for Discontinuous Random Variables
Clément Walter
219
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03 Jul 2015
Biased Online Parameter Inference for State-Space Models
Yan Zhou
Ajay Jasra
355
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01 Mar 2015
Particle Metropolis-adjusted Langevin algorithms
Christopher Nemeth
Chris Sherlock
Paul Fearnhead
458
25
0
23 Dec 2014
Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems
Statistics and computing (Stat Comput), 2014
A. Beskos
Ajay Jasra
Ege A. Muzaffer
Andrew M. Stuart
208
79
0
15 Dec 2014
Fluctuation Analysis of Adaptive Multilevel Splitting
Frédéric Cérou
A. Guyader
309
32
0
27 Aug 2014
Divide-and-Conquer with Sequential Monte Carlo
Fredrik Lindsten
A. M. Johansen
C. A. Naesseth
Bonnie Kirkpatrick
Thomas B. Schon
J. Aston
Alexandre Bouchard-Côté
290
46
0
19 Jun 2014
An adaptive truncation method for inference in Bayesian nonparametric models
Statistics and computing (Stat. Comput.), 2013
Jim Griffin
TPM
290
37
0
09 Aug 2013
Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A case study for the Navier-Stokes equations
N. Kantas
A. Beskos
Ajay Jasra
247
111
0
23 Jul 2013
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