Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse
Problems

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Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems

10 March 2020

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Papers citing "Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems"

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Title
Scalable Bayesian inference for the generalized linear mixed model S. Berchuck Felipe A. Medeiros Sayan Mukherjee Andrea Agazzi 65 0 0 05 Mar 2024
Unbiased Parameter Estimation for Partially Observed Diffusions Elsiddig Awadelkarim Ajay Jasra Hamza Ruzayqat 40 4 0 19 Sep 2023
A randomized multi-index sequential Monte Carlo method Xin Liang Shangda Yang S. Cotter K. Law 104 2 0 27 Oct 2022
Unbiased time-average estimators for Markov chains N. Kahalé 69 3 0 20 Sep 2022
Unbiased Estimation using Underdamped Langevin Dynamics Hamza Ruzayqat Neil K. Chada Ajay Jasra 70 6 0 14 Jun 2022
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization T. Goda Wataru Kitade 81 3 0 04 Jun 2022
Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problems K. Law N. Walton Shan Yang Ajay Jasra 67 4 0 10 Mar 2022
Unbiased Estimation of the Hessian for Partially Observed Diffusions Neil K. Chada Ajay Jasra Fangyuan Yu 83 2 0 06 Sep 2021
Randomized multilevel Monte Carlo for embarrassingly parallel inference Ajay Jasra K. Law Alexander Tarakanov Fangyuan Yu 53 2 0 05 Jul 2021
On Unbiased Estimation for Discretized Models J. Heng Ajay Jasra K. Law Alexander Tarakanov 49 21 0 24 Feb 2021
Efficient Importance Sampling for Large Sums of Independent and Identically Distributed Random Variables Nadhir Ben Rached A. Haji-Ali Gerardo Rubino Raúl Tempone 34 10 0 23 Jan 2021