James C. Spall

115 papers B 1C 44Misc 22Journal 26Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simultaneous Perturbation Stochastic Approximation for Mixed Variables. IEEE Trans. Autom. Control. Long Wang, Qi Wang, James C. Spall, Jingyi Zhu
2025	Misc	`conf`	Comparative Confidence Regions using Expected and Observed Fisher Information. CISS Geng Zhang, James C. Spall
2025	Misc	`conf`	Simulation-Based Optimization for Policy Incentives and Planning of Hybrid Microgrids. CISS Nanrui Gong, James C. Spall
2025	C	`conf`	Stochastic Stability of Kalman-Type Nonlinear Filters. ACC Shihong Wei, James C. Spall
2024	J	`jnl`	Difference Between Cyclic and Distributed Approach in Stochastic Optimization for Multi-agent System. CoRR Jiahao Shi, James C. Spall
2024	C	`conf`	Metropolis-Adjusted Langevin Algorithm with SPSA-Approximated Gradients. ACC Shiqing Sun, James C. Spall
2023	C	`conf`	Formal Comparison of Simultaneous Perturbation Stochastic Approximation and Random Direction Stochastic Approximation ACC Ducheng Peng, Yiwen Chen, James C. Spall
2023	Misc	`conf`	Langevin Monte Carlo with SPSA-approximated Gradients. CISS Shiqing Sun, James C. Spall
2023	Misc	`conf`	Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems. CISS James Cheng Peng, James C. Spall
2023	C	`conf`	Quantifying the Estimation Error for a Constant-Gain Tracker. ACC Shihong Wei, James C. Spall
2022	J	`jnl`	Discrete Stochastic Optimization for Public Health Interventions with Constraints. CoRR Zewei Li, James C. Spall
2022	J	`jnl`	Discrete Stochastic Optimization for Public Health Interventions with Constraints. Oper. Res. Forum Zewei Li, James C. Spall
2022	C	`conf`	Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters. ACC Shihong Wei, James C. Spall
2021	Misc	`conf`	Comparison between Expected and Observed Fisher Information in Interval Estimation. CISS Sihang Jiang, James C. Spall
2021	Misc	`conf`	Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization. CISS Shiqing Sun, James C. Spall
2021	Misc	`conf`	Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations. CISS Xuan Wu, James C. Spall
2021	C	`conf`	Improved SPSA Using Complex Variables with Applications in Optimal Control Problems. ACC Long Wang, James C. Spall
2021	Misc	`conf`	Model-Free Optimal Control using SPSA with Complex Variables. CISS Long Wang, Jingyi Zhu, James C. Spall
2021	C	`conf`	Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case. ACC Shihong Wei, James C. Spall
2021	C	`conf`	SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints. ACC Jiahao Shi, James C. Spall
2020	C	`conf`	Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case. ACC Xiangyu Yuan, James C. Spall
2020	J	`jnl`	Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. IEEE Trans. Neural Networks Learn. Syst. Jingyi Zhu, Long Wang, James C. Spall
2020	C	`conf`	Multilevel Data Integration with Application in Sensor Networks. ACC Long Wang, James C. Spall
2019	Misc	`conf`	Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method. CISS Shuyu Liu, Yingze Hou, James C. Spall
2019	J	`jnl`	Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. CoRR Jingyi Zhu, Long Wang, James C. Spall
2019	C	`conf`	Error Analysis for the Particle Filter. ACC Ziyu Liu, Shihong Wei, James C. Spall
2019	Misc	`conf`	Error Estimation for the Particle Filter. CISS Ziyu Liu, James C. Spall
2019	J	`jnl`	Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation. Autom. Karla Hernandez, James C. Spall
2019	—	`conf`	SPSA Method Using Diagonalized Hessian Estimate. CDC Shiqing Sun, James C. Spall
2018	C	`conf`	A Markovian Framework for Modeling Dynamic Network Traffic. ACC Xilei Zhao, James C. Spall
2018	C	`conf`	Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall. ACC Long Wang, Guanbo Bian, James C. Spall, Benjamin W. Schafer
2018	C	`conf`	Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements. ACC Long Wang, Jingyi Zhu, James C. Spall
2018	J	`jnl`	Modeling Traffic Networks Using Integrated Route and Link Data. CoRR Xilei Zhao, James C. Spall
2018	—	`conf`	Probabilistic Bounds in Tracking a Discrete-Time Varying Process. CDC Jingyi Zhu, James C. Spall
2017	C	`conf`	Beyond the identification of reliability for system with binary subsystems. ACC Long Wang, James C. Spall
2017	Misc	`conf`	Efficient computation of the Fisher information matrix in the EM algorithm. CISS Lingyao Meng, James C. Spall
2016	C	`conf`	Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm. ACC Karla Hernandez, James C. Spall
2016	Misc	`conf`	Efficient implementation of enhanced adaptive simultaneous perturbation algorithms. CISS Pushpendre Rastogi, Jingyi Zhu, James C. Spall
2016	C	`conf`	Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems. ACC Xilei Zhao, James C. Spall
2016	C	`conf`	Multi-agent surveillance and tracking using cyclic stochastic gradient. ACC Carsten H. Botts, James C. Spall, Andrew J. Newman
2016	—	`conf`	Tracking capability of stochastic gradient algorithm with constant gain. CDC Jingyi Zhu, James C. Spall
2015	Misc	`conf`	Error bound analysis of the least-mean-squares algorithm in linear models. CISS Jingyi Zhu, James C. Spall
2015	Misc	`conf`	Integrated stochastic optimization and statistical experimental design for multi-robot target tracking. WSC Timothy H. Chung, James C. Spall
2015	C	`conf`	System identification for multi-sensor data fusion. ACC Karla Hernandez, James C. Spall
2014	C	`conf`	Cyclic stochastic optimization with noisy function measurements. ACC Karla Hernandez, James C. Spall
2014	C	`conf`	Discrete simultaneous perturbation stochastic approximation for resource allocation in public health. ACC Qi Wang, James C. Spall
2014	J	`jnl`	Identification for Systems With Binary Subsystems. IEEE Trans. Autom. Control. James C. Spall
2013	Misc	`conf`	Maximum likelihood-based estimation of parameters in systems with binary subsystems. CISS James C. Spall
2013	C	`conf`	Parameter estimation for systems with binary subsystems. ACC James C. Spall
2013	C	`conf`	Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm. ACC Qi Wang, James C. Spall
2012	C	`conf`	Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests. ACC James C. Spall
2012	J	`jnl`	Cyclic Seesaw Process for Optimization and Identification. J. Optim. Theory Appl. James C. Spall
2012	C	`conf`	Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates. ACC Xumeng Cao, James C. Spall
2011	—	`conf`	Cyclic seesaw optimization and identification. CDC/ECC James C. Spall
2011	Misc	`conf`	Cyclic seesaw optimization with applications to state-space model identification. CISS James C. Spall
2011	C	`conf`	Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements. ACC Qi Wang, James C. Spall
2011	—	`conf`	Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs. CDC/ECC Coire J. Maranzano, James C. Spall
2011	C	`conf`	Inequality-based reliability estimates for complex systems. ACC Stacy D. Hill, James C. Spall, Coire J. Maranzano
2010	—	`conf`	Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests. CDC James C. Spall
2010	J	`jnl`	Efficient Monte Carlo computation of Fisher information matrix using prior information. Comput. Stat. Data Anal. Sonjoy Das, James C. Spall, Roger G. Ghanem
2010	—	`conf`	Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests. PerMIS Coire J. Maranzano, James C. Spall
2010	C	`conf`	Robust test design for reliability estimation with modeling error when combining full system and subsystem tests. ACC Coire J. Maranzano, James C. Spall
2009	J	`jnl`	Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. IEEE Trans. Autom. Control. James C. Spall
2009	Misc	`conf`	On Monte Carlo methods for estimating the fisher information matrix in difficult problems. CISS James C. Spall
2009	—	`conf`	Optimum combination of full system and subsystem tests for estimating the reliability of a system. PerMIS Coire J. Maranzano, James C. Spall
2009	Misc	`conf`	Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates. CISS Xumeng Cao, James C. Spall
2009	—	`conf`	Preliminary results on relative performance of expected and observed fisher information. CDC Xumeng Cao, James C. Spall
2009	C	`conf`	Stopping small-sample stochastic approximation. ACC David W. Hutchison, James C. Spall
2009	C	`conf`	System reliability estimation and confidence regions from subsystem and full system tests. ACC James C. Spall
2008	J	`jnl`	Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach. SIAM J. Sci. Comput. Sonjoy Das, Roger G. Ghanem, James C. Spall
2008	C	`conf`	Improved methods for Monte Carlo estimation of the fisher information matrix. ACC James C. Spall
2008	—	`conf`	Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood. PerMIS James C. Spall
2008	J	`jnl`	Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. IEEE Trans. Neural Networks Qing Song, James C. Spall, Yeng Chai Soh, Jie Ni
2008	J	`jnl`	Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions. Int. J. Control I-Jeng Wang, James C. Spall
2007	—	`conf`	An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information. CDC Sonjoy Das, James C. Spall, Roger G. Ghanem
2007	—	`conf`	Efficient Monte Carlo computation of Fisher information matrix using prior information. PerMIS Sonjoy Das, James C. Spall, Roger G. Ghanem
2007	Misc	`conf`	Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. CISS James C. Spall
2007	C	`conf`	Variance of Bounds in Inequality-Based Reliability Estimates. ACC Stacy D. Hill, James C. Spall
2006	—	`conf`	Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach. CDC Sonjoy Das, Roger G. Ghanem, James C. Spall
2006	—	`conf`	Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. CDC James C. Spall
2006	C	`conf`	Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm. ACC James C. Spall
2006	C	`conf`	Seesaw method for combining parameter estimates. ACC James C. Spall
2005	—	`conf`	A Method for Stopping Nonconvergent Stochastic Approximation Processes. CDC/ECC David W. Hutchison, James C. Spall
2005	C	`conf`	Formal basis for algorithm comparisons in stochastic optimization. ACC James C. Spall, Stacy D. Hill, David R. Stark
2004	C	`conf`	Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems. ACC James C. Spall
2004	C	`conf`	Inequality-based estimates of systems reliability. ACC Stacy D. Hill, James C. Spall
2004	—	`conf`	Stochastic approximation in finite samples using surrogate processes. CDC David W. Hutchison, James C. Spall
2004	J	`jnl`	Use of the Kalman filter for inference in state-space models with unknown noise distributions. IEEE Trans. Autom. Control. John L. Maryak, James C. Spall, Bryan D. Heydon
2003	—	`book`	Introduction to stochastic search and optimization - estimation, simulation, and control. James C. Spall
2003	C	`conf`	Monte Carlo-based computation of the Fisher information matrix in nonstandard settings. ACC James C. Spall
2003	C	`conf`	Rate of convergence in evolutionary computation. ACC David R. Stark, James C. Spall
2003	—	`conf`	Robust neural network tracking controller using simultaneous perturbation stochastic approximation. CDC Qing Song, James C. Spall, Yeng Chai Soh
2003	—	`conf`	Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. CDC I-Jeng Wang, James C. Spall
2002	C	`conf`	Estimation via Markov chain Monte Carlo. ACC James C. Spall
2002	C	`conf`	Theoretical framework for comparing several popular stochastic optimization approaches. ACC James C. Spall, Stacy D. Hill, David R. Stark
2001	C	`conf`	Computable bounds on the rate of convergence in evolutionary computation. ACC David R. Stark, James C. Spall
2000	J	`jnl`	Adaptive stochastic approximation by the simultaneous perturbation method. IEEE Trans. Autom. Control. James C. Spall
2000	—	`conf`	First Results on Formal Comparison of Several Stochastic Optimization Algorithms. Annual Simulation Symposium James C. Spall, Stacy D. Hill, David R. Stark
2000	C	`conf`	Inequality-based reliability estimates for complex systems. ACC Stacy D. Hill, James C. Spall
2000	C	`conf`	Some theoretical comparisons of stochastic optimization approaches. ACC James C. Spall, Stacy D. Hill, David R. Stark
1999	J	`jnl`	Correction to "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation". IEEE Trans. Autom. Control. Payman Sadegh, James C. Spall
1999	J	`jnl`	Review Of Stochastic Approximation Algorithms And Applications [Book Reviews]. Proc. IEEE James C. Spall
1999	Misc	`conf`	Stochastic optimization and the simultaneous perturbation method. WSC James C. Spall
1999	B	`conf`	Theoretical comparisons of evolutionary computation and other optimization approaches. CEC James C. Spall, Stacy D. Hill, David R. Stark
1998	J	`jnl`	Model-free control of nonlinear stochastic systems with discrete-time measurements. IEEE Trans. Autom. Control. James C. Spall, John A. Cristion
1998	J	`jnl`	Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Trans. Autom. Control. Payman Sadegh, James C. Spall
1997	J	`jnl`	A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment. IEEE Trans. Syst. Man Cybern. Part B James C. Spall, John A. Cristion
1997	J	`jnl`	A one-measurement form of simultaneous perturbation stochastic approximation. Autom. James C. Spall
1996	—	`conf`	A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges. ICNN James C. Spall, Mark S. Asher, John L. Maryak
1996	—	`conf`	Model-free control of nonlinear stochastic systems in discrete time. ICNN James C. Spall, John A. Cristion
1995	Misc	`conf`	Stochastic Version of Second-Order (Newton-Raphson) Optimization Using only Function Measurements. WSC James C. Spall
1995	J	`jnl`	The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions. Autom. James C. Spall
1995	J	`jnl`	Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology. Autom. John L. Maryak, James C. Spall, Geoffrey L. Silberman
1994	Misc	`conf`	Developments in stochastic optimization algorithms with gradient approximations based on function measurements. WSC James C. Spall
1994	J	`jnl`	Sensitivity of a Bayesian Analysis to the Prior Distribution. IEEE Trans. Syst. Man Cybern. Syst. Stacy D. Hill, James C. Spall