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On the Convergence of Adaptive Sequential Monte Carlo Methods
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "On the Convergence of Adaptive Sequential Monte Carlo Methods"

48 / 48 papers shown
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
Xun Su
Jianming Huang
Yang Yusen
Zhongxi Fang
Hiroyuki Kasai
DiffM
239
2
0
17 Aug 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen
Yinuo Ren
Martin Renqiang Min
Lexing Ying
Zachary Izzo
DiffMMedIm
543
15
0
04 Jun 2025
Adaptive reduced tempering For Bayesian inverse problems and rare event
  simulation
Adaptive reduced tempering For Bayesian inverse problems and rare event simulation
Frédéric Cérou
P. Héas
Mathias Rousset
269
1
0
24 Oct 2024
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
M. Karamanis
U. Seljak
242
0
0
30 Jul 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing
  Flows
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2024
A. Cabezas
Louis Sharrock
Christopher Nemeth
281
8
0
23 May 2024
Doubly Adaptive Importance Sampling
Doubly Adaptive Importance Sampling
W. van den Boom
Andrea Cremaschi
Alexandre H. Thiery
246
0
0
29 Apr 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design
PASOA- PArticle baSed Bayesian Optimal Adaptive designInternational Conference on Machine Learning (ICML), 2024
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
371
4
0
11 Feb 2024
Self-reinforced polynomial approximation methods for concentrated
  probability densities
Self-reinforced polynomial approximation methods for concentrated probability densities
Tiangang Cui
S. Dolgov
O. Zahm
205
6
0
05 Mar 2023
Tensor-train methods for sequential state and parameter learning in
  state-space models
Tensor-train methods for sequential state and parameter learning in state-space modelsJournal of machine learning research (JMLR), 2023
Yiran Zhao
Tiangang Cui
267
5
0
24 Jan 2023
Bayesian score calibration for approximate models
Bayesian score calibration for approximate models
Joshua J. Bon
D. Warne
David J. Nott
Christopher C. Drovandi
618
6
0
10 Nov 2022
Finite Sample Complexity of Sequential Monte Carlo Estimators on
  Multimodal Target Distributions
Finite Sample Complexity of Sequential Monte Carlo Estimators on Multimodal Target DistributionsThe Annals of Applied Probability (Ann. Appl. Probab.), 2022
Joseph Mathews
S. Schmidler
205
11
0
13 Aug 2022
Tempered, Anti-trunctated, Multiple Importance Sampling
Tempered, Anti-trunctated, Multiple Importance Sampling
Grégoire Aufort
Pierre Pudlo
D. Burgarella
355
0
0
03 May 2022
Efficient Likelihood-based Estimation via Annealing for Dynamic
  Structural Macrofinance Models
Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance ModelsSocial Science Research Network (SSRN), 2021
Andras Fulop
J. Heng
Junye Li
320
1
0
04 Jan 2022
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for
  Bayesian Inversion
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
Han Lu
Mohammad Khalil
T. Catanach
Jiefu Chen
Xuqing Wu
Xin Fu
Cosmin Safta
Yueqin Huang
273
1
0
03 Dec 2021
Adaptation of the Tuning Parameter in General Bayesian Inference with
  Robust Divergence
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust DivergenceStatistics and computing (Stat Comput), 2021
S. Yonekura
S. Sugasawa
474
27
0
13 Jun 2021
Annealed Flow Transport Monte Carlo
Annealed Flow Transport Monte CarloInternational Conference on Machine Learning (ICML), 2021
Michael Arbel
A. G. Matthews
Arnaud Doucet
417
96
0
15 Feb 2021
Accelerating sequential Monte Carlo with surrogate likelihoods
Accelerating sequential Monte Carlo with surrogate likelihoodsStatistics and computing (Stat. Comput.), 2020
Joshua J. Bon
Anthony Lee
Christopher C. Drovandi
362
17
0
08 Sep 2020
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
475
85
0
23 Jul 2020
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture
  Distributions
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions
Jing-rong Dong
Xin T. Tong
281
15
0
29 Jun 2020
Generalized Parallel Tempering on Bayesian Inverse Problems
Generalized Parallel Tempering on Bayesian Inverse ProblemsStatistics and computing (Stat. Comput.), 2020
J. Latz
Juan P. Madrigal-Cianci
F. Nobile
Raúl Tempone
307
18
0
06 Mar 2020
Schrödinger Bridge Samplers
Schrödinger Bridge Samplers
Espen Bernton
J. Heng
Arnaud Doucet
Pierre E. Jacob
178
28
0
31 Dec 2019
Stochastic Gradient Annealed Importance Sampling for Efficient Online
  Marginal Likelihood Estimation
Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation
Scott A. Cameron
H. Eggers
Steve Kroon
130
1
0
17 Nov 2019
Variance Estimation in Adaptive Sequential Monte Carlo
Variance Estimation in Adaptive Sequential Monte CarloThe Annals of Applied Probability (AAP), 2019
Qiming Du
A. Guyader
137
6
0
30 Sep 2019
Sequential Ensemble Transform for Bayesian Inverse Problems
Sequential Ensemble Transform for Bayesian Inverse ProblemsJournal of Computational Physics (JCP), 2019
Aaron Myers
Alexandre Hoang Thiery
Kainan Wang
T. Bui-Thanh
415
6
0
20 Sep 2019
Multilevel Sequential Importance Sampling for Rare Event Estimation
Multilevel Sequential Importance Sampling for Rare Event EstimationSIAM Journal on Scientific Computing (SISC), 2019
Fabian Wagner
J. Latz
I. Papaioannou
E. Ullmann
285
22
0
17 Sep 2019
Efficient Bayesian estimation for GARCH-type models via Sequential Monte
  Carlo
Efficient Bayesian estimation for GARCH-type models via Sequential Monte CarloEconometrics and Statistics (ES), 2019
Dan Li
A. Clements
Christopher C. Drovandi
300
16
0
10 Jun 2019
Vector operations for accelerating expensive Bayesian computations -- a
  tutorial guide
Vector operations for accelerating expensive Bayesian computations -- a tutorial guide
D. Warne
Scott A. Sisson
Christopher Drovandi Queensland University of Technology
293
5
0
25 Feb 2019
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
Alexander K. Buchholz
Nicolas Chopin
Pierre E. Jacob
314
46
0
23 Aug 2018
Global consensus Monte Carlo
Global consensus Monte Carlo
Lewis J. Rendell
A. M. Johansen
Anthony Lee
N. Whiteley
420
46
0
24 Jul 2018
A practical example for the non-linear Bayesian filtering of model
  parameters
A practical example for the non-linear Bayesian filtering of model parameters
Matthieu Bulté
J. Latz
E. Ullmann
226
1
0
23 Jul 2018
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
R. Salomone
Leah F. South
A. M. Johansen
Christopher C. Drovandi
Dirk P. Kroese
611
35
0
10 May 2018
Subsampling Sequential Monte Carlo for Static Bayesian Models
Subsampling Sequential Monte Carlo for Static Bayesian Models
David Gunawan
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
415
52
0
08 May 2018
Bayesian parameter identification in Cahn-Hilliard models for biological
  growth
Bayesian parameter identification in Cahn-Hilliard models for biological growth
Christian Kahle
K. F. Lam
J. Latz
E. Ullmann
364
22
0
08 May 2018
Finite Sample Complexity of Sequential Monte Carlo Estimators
Finite Sample Complexity of Sequential Monte Carlo Estimators
J. Marion
Joseph Mathews
S. Schmidler
277
13
0
25 Mar 2018
Particle Filtering for Stochastic Navier-Stokes Signal Observed with
  Linear Additive Noise
Particle Filtering for Stochastic Navier-Stokes Signal Observed with Linear Additive Noise
Francesc Pons Llopis
N. Kantas
A. Beskos
Ajay Jasra
243
25
0
12 Oct 2017
Multilevel Sequential${}^2$ Monte Carlo for Bayesian Inverse Problems
Multilevel Sequential2{}^22 Monte Carlo for Bayesian Inverse Problems
J. Latz
I. Papaioannou
E. Ullmann
247
43
0
27 Sep 2017
Controlled Sequential Monte Carlo
Controlled Sequential Monte Carlo
J. Heng
A. Bishop
George Deligiannidis
Arnaud Doucet
311
86
0
28 Aug 2017
Advanced Multilevel Monte Carlo Methods
Advanced Multilevel Monte Carlo Methods
Ajay Jasra
K. Law
C. Suciu
210
23
0
24 Apr 2017
Learning of state-space models with highly informative observations: a
  tempered Sequential Monte Carlo solution
Learning of state-space models with highly informative observations: a tempered Sequential Monte Carlo solution
Andreas Svensson
Thomas B. Schon
Fredrik Lindsten
214
18
0
06 Feb 2017
Monte Carlo Confidence Sets for Identified Sets
Monte Carlo Confidence Sets for Identified Sets
Xiaohong Chen
T. Christensen
E. Tamer
295
96
0
02 May 2016
Rare Event Simulation and Splitting for Discontinuous Random Variables
Rare Event Simulation and Splitting for Discontinuous Random Variables
Clément Walter
219
5
0
03 Jul 2015
Biased Online Parameter Inference for State-Space Models
Biased Online Parameter Inference for State-Space Models
Yan Zhou
Ajay Jasra
355
9
0
01 Mar 2015
Particle Metropolis-adjusted Langevin algorithms
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
Sequential Monte Carlo Methods for Bayesian Elliptic Inverse ProblemsStatistics 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
Fluctuation Analysis of Adaptive Multilevel Splitting
Frédéric Cérou
A. Guyader
309
32
0
27 Aug 2014
Divide-and-Conquer with Sequential Monte Carlo
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
An adaptive truncation method for inference in Bayesian nonparametric modelsStatistics 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
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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