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Asymptotic optimality of adaptive importance sampling
v1v2 (latest)

Asymptotic optimality of adaptive importance sampling

4 June 2018
B. Delyon
François Portier
ArXiv (abs)PDFHTML

Papers citing "Asymptotic optimality of adaptive importance sampling"

10 / 10 papers shown
Title
A Quadrature Rule combining Control Variates and Adaptive Importance
  Sampling
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc
Franccois Portier
Johan Segers
Aigerim Zhuman
75
2
0
24 May 2022
Global convergence of optimized adaptive importance samplers
Global convergence of optimized adaptive importance samplers
Ömer Deniz Akyildiz
103
7
0
02 Jan 2022
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance
  tradeoff
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff
Anna Korba
Franccois Portier
80
14
0
29 Oct 2021
Importance sampling based active learning for parametric seismic
  fragility curve estimation
Importance sampling based active learning for parametric seismic fragility curve estimation
Clement Gauchy
C. Feau
Josselin Garnier
49
4
0
09 Sep 2021
Adaptive Doubly Robust Estimator from Non-stationary Logging Policy
  under a Convergence of Average Probability
Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability
Masahiro Kato
OffRL
54
0
0
17 Feb 2021
Population Quasi-Monte Carlo
Population Quasi-Monte Carlo
Chaofan Huang
V. Roshan
Simon Mak
69
7
0
26 Dec 2020
Asymptotic Analysis of Conditioned Stochastic Gradient Descent
Asymptotic Analysis of Conditioned Stochastic Gradient Descent
Rémi Leluc
Franccois Portier
88
4
0
04 Jun 2020
Control variate selection for Monte Carlo integration
Control variate selection for Monte Carlo integration
Rémi Leluc
François Portier
Johan Segers
78
15
0
26 Jun 2019
Safe and adaptive importance sampling: a mixture approach
Safe and adaptive importance sampling: a mixture approach
B. Delyon
Franccois Portier
147
11
0
20 Mar 2019
Monte Carlo integration with a growing number of control variates
Monte Carlo integration with a growing number of control variates
François Portier
Johan Segers
79
28
0
05 Jan 2018
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