ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1512.01022
  4. Cited By
Unbiased estimators and multilevel Monte Carlo
v1v2v3v4 (latest)

Unbiased estimators and multilevel Monte Carlo

3 December 2015
M. Vihola
ArXiv (abs)PDFHTML

Papers citing "Unbiased estimators and multilevel Monte Carlo"

34 / 34 papers shown
Title
Unbiased least squares regression via averaged stochastic gradient
  descent
Unbiased least squares regression via averaged stochastic gradient descent
Nabil Kahalé
83
0
0
26 Jun 2024
When are Unbiased Monte Carlo Estimators More Preferable than Biased
  Ones?
When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones?
Guanyang Wang
Jose Blanchet
Peter Glynn
88
1
0
01 Apr 2024
Unbiased and Multilevel Methods for a Class of Diffusions Partially
  Observed via Marked Point Processes
Unbiased and Multilevel Methods for a Class of Diffusions Partially Observed via Marked Point Processes
Miguel Alvarez
Ajay Jasra
Hamza Ruzayqat
53
0
0
16 Nov 2023
Unbiased Parameter Estimation for Partially Observed Diffusions
Unbiased Parameter Estimation for Partially Observed Diffusions
Elsiddig Awadelkarim
Ajay Jasra
Hamza Ruzayqat
40
4
0
19 Sep 2023
Optimal distributions for randomized unbiased estimators with an
  infinite horizon and an adaptive algorithm
Optimal distributions for randomized unbiased estimators with an infinite horizon and an adaptive algorithm
C. Zheng
Jiangtao Pan
Qun Wang
26
2
0
16 Apr 2023
Quasi continuous level Monte Carlo for random elliptic PDEs
Quasi continuous level Monte Carlo for random elliptic PDEs
C. Beschle
A. Barth
66
2
0
15 Mar 2023
An Improved Unbiased Particle Filter
An Improved Unbiased Particle Filter
Ajay Jasra
Mohamed Maama
H. Ombao
43
2
0
20 Feb 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested
  expectations
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
Yasa Syed
Guanyang Wang
71
5
0
10 Jan 2023
A randomized multi-index sequential Monte Carlo method
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
Unbiased time-average estimators for Markov chains
N. Kahalé
69
3
0
20 Sep 2022
Unbiased Estimation using Underdamped Langevin Dynamics
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
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization
T. Goda
Wataru Kitade
84
3
0
04 Jun 2022
Conditional particle filters with bridge backward sampling
Conditional particle filters with bridge backward sampling
Santeri Karppinen
Sumeetpal S. Singh
M. Vihola
95
8
0
27 May 2022
Unbiased Multilevel Monte Carlo methods for intractable distributions:
  MLMC meets MCMC
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC
Guanyang Wang
T. Wang
89
15
0
11 Apr 2022
Unbiased Estimation of the Hessian for Partially Observed Diffusions
Unbiased Estimation of the Hessian for Partially Observed Diffusions
Neil K. Chada
Ajay Jasra
Fangyuan Yu
83
2
0
06 Sep 2021
Multilevel Estimation of Normalization Constants Using the Ensemble
  Kalman-Bucy Filter
Multilevel Estimation of Normalization Constants Using the Ensemble Kalman-Bucy Filter
Hamza Ruzayqat
Neil K. Chada
Ajay Jasra
82
5
0
09 Aug 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
53
2
0
05 Jul 2021
Unbiased Optimal Stopping via the MUSE
Unbiased Optimal Stopping via the MUSE
Zhengqing Zhou
Guanyang Wang
Jose H. Blanchet
Peter Glynn
75
6
0
04 Jun 2021
Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of
  Continuous-Time State-Space Models
Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models
M. Ballesio
Ajay Jasra
56
2
0
24 May 2021
On Unbiased Score Estimation for Partially Observed Diffusions
On Unbiased Score Estimation for Partially Observed Diffusions
J. Heng
J. Houssineau
Ajay Jasra
70
11
0
11 May 2021
On Unbiased Estimation for Discretized Models
On Unbiased Estimation for Discretized Models
J. Heng
Ajay Jasra
K. Law
Alexander Tarakanov
49
21
0
24 Feb 2021
Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse
  Problems
Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems
Ajay Jasra
K. Law
Deng Lu
77
16
0
10 Mar 2020
Unbiased Filtering of a Class of Partially Observed Diffusions
Unbiased Filtering of a Class of Partially Observed Diffusions
Ajay Jasra
K. Law
Fangyuan Yu
60
23
0
10 Feb 2020
Unbiased Estimation of the Solution to Zakai's Equation
Unbiased Estimation of the Solution to Zakai's Equation
Hamza M. Ruzayqat
Ajay Jasra
68
3
0
04 Feb 2020
Optimal unbiased estimators via convex hulls
Optimal unbiased estimators via convex hulls
N. Kahalé
94
3
0
06 Sep 2019
Estimating Convergence of Markov chains with L-Lag Couplings
Estimating Convergence of Markov chains with L-Lag Couplings
N. Biswas
Pierre E. Jacob
Paul Vanetti
58
49
0
23 May 2019
Unbiased Multilevel Monte Carlo: Stochastic Optimization, Steady-state
  Simulation, Quantiles, and Other Applications
Unbiased Multilevel Monte Carlo: Stochastic Optimization, Steady-state Simulation, Quantiles, and Other Applications
Jose H. Blanchet
Peter Glynn
Yanan Pei
67
29
0
22 Apr 2019
Markov chain Monte Carlo importance samplers for Bayesian models with
  intractable likelihoods
Markov chain Monte Carlo importance samplers for Bayesian models with intractable likelihoods
Jordan Franks
34
0
0
11 Apr 2019
Estimation and uncertainty quantification for the output from quantum
  simulators
Estimation and uncertainty quantification for the output from quantum simulators
Ryan Bennink
Ajay Jasra
K. Law
P. Lougovski
49
2
0
07 Mar 2019
Unbiased inference for discretely observed hidden Markov model
  diffusions
Unbiased inference for discretely observed hidden Markov model diffusions
Neil K. Chada
Jordan Franks
Ajay Jasra
K. Law
M. Vihola
91
29
0
26 Jul 2018
Unbiased Markov chain Monte Carlo with couplings
Unbiased Markov chain Monte Carlo with couplings
Pierre E. Jacob
J. O'Leary
Yves F. Atchadé
126
73
0
11 Aug 2017
Smoothing with Couplings of Conditional Particle Filters
Smoothing with Couplings of Conditional Particle Filters
Pierre E. Jacob
Fredrik Lindsten
Thomas B. Schon
138
55
0
08 Jan 2017
Importance sampling type estimators based on approximate marginal MCMC
Importance sampling type estimators based on approximate marginal MCMC
M. Vihola
Jouni Helske
Jordan Franks
108
25
0
08 Sep 2016
Coupling of Particle Filters
Coupling of Particle Filters
Pierre E. Jacob
Fredrik Lindsten
Thomas B. Schon
99
24
0
03 Jun 2016
1