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Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse
  Problems
v1v2 (latest)

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

Statistics and computing (Stat. Comput.), 2020
10 March 2020
Ajay Jasra
K. Law
Deng Lu
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
S. Berchuck
Felipe A. Medeiros
Sayan Mukherjee
Andrea Agazzi
262
0
0
05 Mar 2024
Unbiased Parameter Estimation for Partially Observed Diffusions
Unbiased Parameter Estimation for Partially Observed DiffusionsSIAM Journal of Control and Optimization (SICON), 2023
Elsiddig Awadelkarim
Ajay Jasra
Hamza Ruzayqat
193
5
0
19 Sep 2023
A randomized multi-index sequential Monte Carlo method
A randomized multi-index sequential Monte Carlo methodStatistics and computing (Stat. Comput.), 2022
Xin Liang
Shangda Yang
S. Cotter
K. Law
252
3
0
27 Oct 2022
Unbiased time-average estimators for Markov chains
Unbiased time-average estimators for Markov chainsMathematics of Operations Research (MOR), 2022
N. Kahalé
216
3
0
20 Sep 2022
Unbiased Estimation using Underdamped Langevin Dynamics
Unbiased Estimation using Underdamped Langevin DynamicsSIAM Journal on Scientific Computing (SISC), 2022
Hamza Ruzayqat
Neil K. Chada
Ajay Jasra
236
7
0
14 Jun 2022
Constructing unbiased gradient estimators with finite variance for
  conditional stochastic optimization
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimizationMathematics and Computers in Simulation (MCS), 2022
T. Goda
Wataru Kitade
267
6
0
04 Jun 2022
Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse
  problems
Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problemsFoundations of Computational Mathematics (FoCM), 2022
K. Law
N. Walton
Shan Yang
Ajay Jasra
250
4
0
10 Mar 2022
Unbiased Estimation of the Hessian for Partially Observed Diffusions
Unbiased Estimation of the Hessian for Partially Observed DiffusionsProceedings of the Royal Society A (Proc. R. Soc. A), 2021
Neil K. Chada
Ajay Jasra
Fangyuan Yu
273
2
0
06 Sep 2021
Randomized multilevel Monte Carlo for embarrassingly parallel inference
Randomized multilevel Monte Carlo for embarrassingly parallel inference
Ajay Jasra
K. Law
Alexander Tarakanov
Fangyuan Yu
278
2
0
05 Jul 2021
On Unbiased Estimation for Discretized Models
On Unbiased Estimation for Discretized Models
J. Heng
Ajay Jasra
K. Law
Alexander Tarakanov
195
22
0
24 Feb 2021
Efficient Importance Sampling for Large Sums of Independent and
  Identically Distributed Random Variables
Efficient Importance Sampling for Large Sums of Independent and Identically Distributed Random VariablesStatistics and computing (Stat Comput), 2021
Nadhir Ben Rached
A. Haji-Ali
Gerardo Rubino
Raúl Tempone
226
11
0
23 Jan 2021
1
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