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Effective Sample Size for Importance Sampling based on discrepancy measures
10 February 2016
Luca Martino
Victor Elvira
F. Louzada
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Papers citing
"Effective Sample Size for Importance Sampling based on discrepancy measures"
50 / 53 papers shown
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168
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ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks
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Syntactic Control of Language Models by Posterior Inference
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Tim Vieira
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249
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NetArena: Dynamic Benchmarks for AI Agents in Network Automation
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03 Jun 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks
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481
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24 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
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Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
602
25
0
13 Feb 2025
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
Journal of the Franklin Institute (JFI), 2024
E. Curbelo
Luca Martino
F. Llorente
D. Delgado-Gomez
382
1
0
03 Jan 2025
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
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349
3
0
18 Oct 2024
Multi-Objective Recommendation via Multivariate Policy Learning
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Olivier Jeunen
Jatin Mandav
Ivan Potapov
Nakul Agarwal
Sourabh Vaid
Wenzhe Shi
Aleksei Ustimenko
OffRL
284
12
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03 May 2024
Doubly Adaptive Importance Sampling
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Andrea Cremaschi
Alexandre H. Thiery
250
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29 Apr 2024
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans
Pascal Friederich
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457
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02 Feb 2024
Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua
R. Ahmad
Jose Blanchet
Wei Cai
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285
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13 Jan 2024
Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules
Joseph C. Kim
David Bloore
Karan Kapoor
Jun Feng
Ming-Hong Hao
Mengdi Wang
306
11
0
08 Jan 2024
Learning to Reweight for Graph Neural Network
Ruihao Zhang
Teng Xiao
Kun Kuang
Zheqi Lv
Min Zhang
Jinluan Yang
Chengqiang Lu
Hongxia Yang
Leilei Gan
OOD
280
1
0
19 Dec 2023
Adaptive importance sampling for heavy-tailed distributions via
α
α
α
-divergence minimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Thomas Guilmeau
Nicola Branchini
Émilie Chouzenoux
Victor Elvira
329
3
0
25 Oct 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Foundations of Data Science (FDS), 2023
Xiongjie Chen
Yunpeng Li
383
34
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19 Feb 2023
Entropy minimizing distributions are worst-case optimal importance proposals
Frédéric Cérou
P. Héas
Mathias Rousset
224
3
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08 Dec 2022
Truncated proposals for scalable and hassle-free simulation-based inference
Neural Information Processing Systems (NeurIPS), 2022
Michael Deistler
P. J. Gonçalves
Jakob H Macke
449
65
0
10 Oct 2022
Efficient probabilistic reconciliation of forecasts for real-valued and count time series
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Lorenzo Zambon
Dario Azzimonti
Giorgio Corani
BDL
AI4TS
181
8
0
05 Oct 2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
298
10
0
09 Sep 2022
Variance Analysis of Multiple Importance Sampling Schemes
Statistics (Berlin) (SB), 2022
R. Mukerjee
Victor Elvira
162
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09 Jul 2022
Guided sequential ABC schemes for intractable Bayesian models
Bayesian Analysis (Bayesian Anal.), 2022
Umberto Picchini
M. Tamborrino
583
14
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24 Jun 2022
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Computational Statistics & Data Analysis (CSDA), 2022
Ivette Raices Cruz
J. Lindström
Matthias C. M. Troffaes
U. Sahlin
192
17
0
17 Jun 2022
Bootstrap Your Flow
Laurence Illing Midgley
Vincent Stimper
G. Simm
José Miguel Hernández-Lobato
413
5
0
22 Nov 2021
PriorVAE: Encoding spatial priors with VAEs for small-area estimation
Journal of the Royal Society Interface (J. R. Soc. Interface), 2021
Elizaveta Semenova
Yidan Xu
A. Howes
T. Rashid
Samir Bhatt
Swapnil Mishra
Seth Flaxman
343
20
0
20 Oct 2021
A Survey of Monte Carlo Methods for Parameter Estimation
EURASIP Journal on Advances in Signal Processing (EURASIP JASP), 2020
D. Luengo
Luca Martino
M. Bugallo
Victor Elvira
S. Särkkä
227
207
0
25 Jul 2021
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
IEEE Transactions on Aerospace and Electronic Systems (T-AES), 2021
Luca Martino
Victor Elvira
J. Lopez-Santiago
Gustau Camps-Valls
291
4
0
18 Jul 2021
Solving Schrödinger Bridges via Maximum Likelihood
Entropy (Entropy), 2021
Francisco Vargas
Pierre Thodoroff
Neil D. Lawrence
A. Lamacraft
OT
907
184
0
03 Jun 2021
MCMC-driven importance samplers
Applied Mathematical Modelling (AMM), 2021
F. Llorente
E. Curbelo
Luca Martino
Victor Elvira
D. Delgado
505
13
0
06 May 2021
Advances in Importance Sampling
Victor Elvira
Luca Martino
AI4TS
387
124
0
10 Feb 2021
Policy Optimization as Online Learning with Mediator Feedback
AAAI Conference on Artificial Intelligence (AAAI), 2020
Alberto Maria Metelli
Matteo Papini
P. DÓro
Marcello Restelli
OffRL
330
11
0
15 Dec 2020
Deep Importance Sampling based on Regression for Model Inversion and Emulation
F. Llorente
Luca Martino
D. Delgado
G. Camps-Valls
377
22
0
20 Oct 2020
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation
Felipe Maia Polo
R. Vicente
426
20
0
02 Oct 2020
Cluster Prediction for Opinion Dynamics from Partial Observations
Zehong Zhang
Fei Lu
407
3
0
04 Jul 2020
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
F. Llorente
Luca Martino
D. Delgado
J. Lopez-Santiago
409
106
0
17 May 2020
Importance Gaussian Quadrature
IEEE Transactions on Signal Processing (TSP), 2020
Victor Elvira
Luca Martino
Pau Closas
373
39
0
09 Jan 2020
Tree pyramidal adaptive importance sampling
J. Felip
Nilesh A. Ahuja
Omesh Tickoo
259
5
0
18 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection
Erik A. Daxberger
José Miguel Hernández-Lobato
UQCV
490
67
0
11 Dec 2019
Probabilistic Regressor Chains with Monte Carlo Methods
Jesse Read
Luca Martino
BDL
UQCV
AI4CE
LRM
257
15
0
18 Jul 2019
Importance Resampling for Off-policy Prediction
Neural Information Processing Systems (NeurIPS), 2019
M. Schlegel
Wesley Chung
Daniel Graves
Jian Qian
Martha White
OffRL
378
48
0
11 Jun 2019
Bayesian variational inference for exponential random graph models
Linda S. L. Tan
Nial Friel
410
21
0
10 Nov 2018
Policy Optimization via Importance Sampling
Alberto Maria Metelli
Matteo Papini
Francesco Faccio
Marcello Restelli
OffRL
319
103
0
17 Sep 2018
Rethinking the Effective Sample Size
Victor Elvira
Luca Martino
Christian P. Robert
350
88
0
11 Sep 2018
Robust Covariance Adaptation in Adaptive Importance Sampling
Yousef El-Laham
Victor Elvira
M. Bugallo
317
20
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Probability measure changes in Monte Carlo simulation
Jiaxin Zhang
Michael D. Shields
198
2
0
24 Mar 2018
A Review of Multiple Try MCMC algorithms for Signal Processing
Luca Martino
251
89
0
27 Jan 2018
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization
Shanyun Liu
R. She
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188
8
0
22 Jan 2018
Symmetrized importance samplers for stochastic differential equations
Andrew B. Leach
Kevin K. Lin
M. Morzfeld
226
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Group Importance Sampling for Particle Filtering and MCMC
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Victor Elvira
G. Camps-Valls
398
73
0
10 Apr 2017
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