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Likelilood ratio gradient estimation
0 references·16 citing·46 second hop
Likelilood ratio gradient estimation (1987)Likelilood ratio gradient estimationWhat you should know about simulation and derivatives (2008)What you should know about si…Sensitivity Analysis Using Itô--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control (2005)Sensitivity Analysis Using It…An overview of derivative estimation (2002)An overview of derivative est…Techniques for fast simulation of models of highly dependable systems (2001)Techniques for fast simulatio…Simulation optimization: a survey of simulation optimization techniques and procedures (2000)Simulation optimization: a su…Simulation optimization methodologies (1999)Simulation optimization metho…Algorithms for sensitivity analysis of Markov systems through potentials and perturbation realization (1998)Algorithms for sensitivity an…Sample-path optimization of convex stochastic performance functions (1996)Sample-path optimization of c…Nelder-Mead Simplex Modifications for Simulation Optimization (1996)Nelder-Mead Simplex Modificat…Stochastic Optimization by Simulation: Numerical Experiments with the M/M/1 Queue in Steady-State (1994)Stochastic Optimization by Si…Metamodels for simulation input-output relations (1992)Metamodels for simulation inp…A tutorial on simulation optimization (1992)A tutorial on simulation opti…Optimization of static simulation models by the score function method (1990)Optimization of static simula…A Unified View of the IPA, SF, and LR Gradient Estimation Techniques (1990)A Unified View of the IPA, SF…Techniques for simulation response optimization (1989)Techniques for simulation res…Simulation methods for queues: An overview (1988)Simulation methods for queues…A Stochastic Approximation Method (1951)Stochastic Estimation of the Maximum of a Regression Function (1952)Response Surface Methodology (1996)A combined procedure for optimization via simulation (2003)Stochastic Optimization Methods (2008)Application of a Technique for Research and Development Program Evaluation (1959)Proceedings of the 1987 winter simulation conference (1988)Stochastic Programming: Optimization When Uncertainty Matters (2005)Chapter 19 Gradient Estimation (2006)Simulation optimization: a review of algorithms and applications (2014)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Simulation Modeling and Analysis. (1983)Stochastic Trust-Region Response-Surface Method (STRONG)—A New Response-Surface Framework for Simulation Optimization (2012)Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data (2015)Statistics for Experimenters (1979)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)Simulation metamodels (1998)Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming (1999)Simulation optimization using metamodels (2009)Sensitivity Analysis and Performance Extrapolation for Computer Simulation Models (1989)Statistical analysis of simulation output (1997)Using evolutionary algorithms and simulation for the optimization of manufacturing systems (1997)c-SPSA: Cluster-wise simultaneous perturbation stochastic approximation algorithm and its application to dynamic origin–destination matrix estimation (2015)A Guide to Simulation. (1985)A guide to simulation (2nd ed.) (1986)Sensitivity Analysis for Simulations via Likelihood Ratios (1989)Active Nonlinear Tests (ANTs) of Complex Simulation Models (1998)On loss functions and ranking forecasting performances of multivariate volatility models (2012)A Guide to Simulation (1983)Gradient Estimation via Perturbation Analysis (1991)Budget-Dependent Convergence Rate of Stochastic Approximation (1998)Stochastic programming by Monte Carlo simulation methods (1999)Stochastic root finding via retrospective approximation (2001)A review of simulation optimization techniques (2002)Multi-response simulation optimization using genetic algorithm within desirability function framework (2005)An exploratory approach for adaptive policymaking by using multi-objective robust optimization (2014)Stochastic Integration and Differential Equations (2005)Numerical Methods for the Pricing of Swing Options: A Stochastic Control Approach (2006)The Malliavin Calculus and Related Topics (2006)Smart expansion and fast calibration for jump diffusions (2009)Numerical solution of stochastic differential equations (2016)Convergence analysis of machine learning algorithms for the numerical solution of mean field control and games: II—the finite horizon case (2022)Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)Likelihood ratio gradient estimation for stochastic systems (1990)On the Convergence Rates of IPA and FDC Derivative Estimators (1994)
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Cited by

  • 1990A Unified View of the IPA, SF, and LR Gradient Estimation Techniques211 cited
  • 1996Nelder-Mead Simplex Modifications for Simulation Optimization209 cited
  • 1999Simulation optimization methodologies196 cited
  • 1992Metamodels for simulation input-output relations175 cited
  • 1996Sample-path optimization of convex stochastic performance functions157 cited
  • 1989Techniques for simulation response optimization118 cited
  • 1992A tutorial on simulation optimization116 cited
  • 2005Sensitivity Analysis Using Itô--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control93 cited
  • 1994Stochastic Optimization by Simulation: Numerical Experiments with the M/M/1 Queue in Steady-State90 cited
  • 2002An overview of derivative estimation84 cited
  • 2001Techniques for fast simulation of models of highly dependable systems83 cited
  • 1988Simulation methods for queues: An overview73 cited
  • 1990Optimization of static simulation models by the score function method69 cited
  • 1998Algorithms for sensitivity analysis of Markov systems through potentials and perturbation realization69 cited

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2000
Simulation optimization: a survey of simulation optimization techniques and procedures
67 cited
  • 2008What you should know about simulation and derivatives61 cited