James C. Spall
Orcid: 0000-0001-8034-8864
According to our database1,
James C. Spall
authored at least 107 papers
between 1994 and 2024.
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Bibliography
2024
Difference Between Cyclic and Distributed Approach in Stochastic Optimization for Multi-agent System.
CoRR, 2024
Proceedings of the American Control Conference, 2024
2023
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
Proceedings of the American Control Conference, 2023
Formal Comparison of Simultaneous Perturbation Stochastic Approximation and Random Direction Stochastic Approximation <sup>∗</sup>.
Proceedings of the American Control Conference, 2023
2022
Oper. Res. Forum, November, 2022
Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters.
Proceedings of the American Control Conference, 2022
2021
Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Proceedings of the 2021 American Control Conference, 2021
SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints.
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 2021 American Control Conference, 2021
2020
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems.
IEEE Trans. Neural Networks Learn. Syst., 2020
Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation.
Autom., 2019
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements.
Proceedings of the 2018 Annual American Control Conference, 2018
Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems.
Proceedings of the 2016 American Control Conference, 2016
Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Integrated stochastic optimization and statistical experimental design for multi-robot target tracking.
Proceedings of the 2015 Winter Simulation Conference, 2015
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015
Proceedings of the American Control Conference, 2015
2014
Discrete simultaneous perturbation stochastic approximation for resource allocation in public health.
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
2013
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013
Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm.
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2012
J. Optim. Theory Appl., 2012
Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests.
Proceedings of the American Control Conference, 2012
Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates.
Proceedings of the American Control Conference, 2012
2011
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements.
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Efficient Monte Carlo computation of Fisher information matrix using prior information.
Comput. Stat. Data Anal., 2010
Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests.
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, 2010
Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Robust test design for reliability estimation with modeling error when combining full system and subsystem tests.
Proceedings of the American Control Conference, 2010
2009
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm.
IEEE Trans. Autom. Control., 2009
Optimum combination of full system and subsystem tests for estimating the reliability of a system.
Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems, 2009
On Monte Carlo methods for estimating the fisher information matrix in difficult problems.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
Preliminary results on relative performance of expected and observed fisher information.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
System reliability estimation and confidence regions from subsystem and full system tests.
Proceedings of the American Control Conference, 2009
Proceedings of the American Control Conference, 2009
2008
Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation.
IEEE Trans. Neural Networks, 2008
Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach.
SIAM J. Sci. Comput., 2008
Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions.
Int. J. Control, 2008
Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood.
Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, 2008
Proceedings of the American Control Conference, 2008
2007
An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the American Control Conference, 2007
2006
Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
Proceedings of the American Control Conference, 2006
Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm.
Proceedings of the American Control Conference, 2006
2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
Proceedings of the American Control Conference, 2005
2004
Use of the Kalman filter for inference in state-space models with unknown noise distributions.
IEEE Trans. Autom. Control., 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems.
Proceedings of the 2004 American Control Conference, 2004
Proceedings of the 2004 American Control Conference, 2004
2003
Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Robust neural network tracking controller using simultaneous perturbation stochastic approximation.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the American Control Conference, 2003
Monte Carlo-based computation of the Fisher information matrix in nonstandard settings.
Proceedings of the American Control Conference, 2003
Introduction to stochastic search and optimization - estimation, simulation, and control.
Wiley-Interscience series in discrete mathematics and optimization, Wiley, ISBN: 978-0-471-72213-7, 2003
2002
Theoretical framework for comparing several popular stochastic optimization approaches.
Proceedings of the American Control Conference, 2002
Proceedings of the American Control Conference, 2002
2001
Proceedings of the American Control Conference, 2001
2000
IEEE Trans. Autom. Control., 2000
Proceedings of the Proceedings 33th Annual Simulation Symposium (SS 2000), 2000
Proceedings of the American Control Conference, 2000
Proceedings of the American Control Conference, 2000
1999
Correction to "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation".
IEEE Trans. Autom. Control., 1999
Proc. IEEE, 1999
Proceedings of the 31st conference on Winter simulation: Simulation, 1999
Theoretical comparisons of evolutionary computation and other optimization approaches.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1998
IEEE Trans. Autom. Control., 1998
Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation.
IEEE Trans. Autom. Control., 1998
1997
A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment.
IEEE Trans. Syst. Man Cybern. Part B, 1997
Autom., 1997
1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1995
The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions.
Autom., 1995
Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology.
Autom., 1995
Stochastic Version of Second-Order (Newton-Raphson) Optimization Using only Function Measurements.
Proceedings of the 27th conference on Winter simulation, 1995
1994
IEEE Trans. Syst. Man Cybern. Syst., 1994
Developments in stochastic optimization algorithms with gradient approximations based on function measurements.
Proceedings of the 26th conference on Winter simulation, 1994