On nonnegative unbiased estimators

25 September 2013

Papers citing "On nonnegative unbiased estimators"

41 / 41 papers shown

Title
On Feynman--Kac training of partial Bayesian neural networks Zheng Zhao Sebastian Mair Thomas B. Schon Jens Sjölund 40 0 0 30 Oct 2023
A randomized multi-index sequential Monte Carlo method Xin Liang Shangda Yang S. Cotter K. Law 65 2 0 27 Oct 2022
A correlated pseudo-marginal approach to doubly intractable problems Yu Yang M. Quiroz Robert Kohn Scott A. Sisson 24 1 0 06 Oct 2022
Unbiased time-average estimators for Markov chains N. Kahalé 34 3 0 20 Sep 2022
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC Guanyang Wang T. Wang 42 14 0 11 Apr 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 29 2 0 26 Mar 2022
Pseudo-marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations Miguel Biron-Lattes Alexandre Bouchard-Coté Trevor Campbell 86 2 0 28 May 2021
Rao-Blackwellization in the MCMC era Christian P. Robert Gareth O. Roberts 35 9 0 04 Jan 2021
Posterior computation with the Gibbs zig-zag sampler Matthias Sachs Deborshee Sen Jianfeng Lu David B. Dunson 19 7 0 08 Apr 2020
Bayesian Computation with Intractable Likelihoods M. Moores A. Pettitt Kerrie Mengersen TPM 6 3 0 08 Apr 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen 8 29 0 01 Apr 2020
From the Bernoulli Factory to a Dice Enterprise via Perfect Sampling of Markov Chains Giulio Morina Krzysztof Latuszynski P. Nayar Alex Wendland 18 8 0 19 Dec 2019
Exact Bayesian inference for discretely observed Markov Jump Processes using finite rate matrices Chris Sherlock Andrew Golightly 17 3 0 16 Dec 2019
Optimal unbiased estimators via convex hulls N. Kahalé 8 3 0 06 Sep 2019
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal Tung-Yu Wu Y. X. R. Wang W. Wong 17 10 0 08 Aug 2019
Unbiased Estimation of the Reciprocal Mean for Non-negative Random Variables Sarat Moka Dirk P. Kroese Sandeep Juneja 20 5 0 03 Jul 2019
Efficient posterior sampling for high-dimensional imbalanced logistic regression Deborshee Sen Matthias Sachs Jianfeng Lu David B. Dunson 13 13 0 27 May 2019
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 26 95 0 12 Mar 2019
Gibbs posterior convergence and the thermodynamic formalism K. Mcgoff S. Mukherjee A. Nobel 27 10 0 24 Jan 2019
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo Lampros Bouranis Nial Friel Florian Maire 9 5 0 14 Dec 2017
Barker's algorithm for Bayesian inference with intractable likelihoods F. Gonccalves K. Latuszyñski Gareth O. Roberts 20 10 0 22 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 21 131 0 18 Sep 2017
A determinant-free method to simulate the parameters of large Gaussian fields L. Ellam Heiko Strathmann Mark Girolami Iain Murray 23 3 0 11 Sep 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang M. Quiroz Robert Kohn Minh-Ngoc Tran M. Villani 31 62 0 02 Aug 2017
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets Florian Maire Nial Friel Pierre Alquier 33 14 0 26 Jun 2017
General Bayesian inference schemes in infinite mixture models Maria Lomeli 16 0 0 28 Feb 2017
Markov Chain Truncation for Doubly-Intractable Inference Colin Wei Iain Murray 26 13 0 15 Oct 2016
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 39 18 0 12 Sep 2016
Importance sampling type estimators based on approximate marginal MCMC M. Vihola Jouni Helske Jordan Franks 26 25 0 08 Sep 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 231 0 11 Jul 2016
The block-Poisson estimator for optimally tuned exact subsampling MCMC M. Quiroz Minh-Ngoc Tran M. Villani Robert Kohn Khue-Dung Dang 20 26 0 27 Mar 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 24 87 0 16 Feb 2016
Unbiased estimators and multilevel Monte Carlo M. Vihola 23 69 0 03 Dec 2015
Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations Anastasis Georgoulas J. Hillston G. Sanguinetti 28 39 0 28 Sep 2015
Speeding Up MCMC by Delayed Acceptance and Data Subsampling M. Quiroz Minh-Ngoc Tran M. Villani Robert Kohn 19 43 0 22 Jul 2015
Unbiased Bayes for Big Data: Paths of Partial Posteriors Heiko Strathmann Dino Sejdinovic Mark Girolami 28 18 0 14 Jan 2015
Perfect simulation using atomic regeneration with application to Sequential Monte Carlo Anthony Lee Arnaud Doucet K. Latuszyñski 51 15 0 22 Jul 2014
Speeding Up MCMC by Efficient Data Subsampling M. Quiroz Robert Kohn M. Villani Minh-Ngoc Tran 47 173 0 16 Apr 2014
Approximate Bayesian Computation for a Class of Time Series Models Ajay Jasra AI4TS 34 30 0 01 Jan 2014
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods A. Lyne Mark Girolami Yves F. Atchadé Heiko Strathmann Daniel P. Simpson 50 135 0 17 Jun 2013
Coupled MCMC with a randomized acceptance probability Geoff K. Nicholls C. Fox Alexis Muir Watt 48 41 0 30 May 2012