Developments in stochastic optimization algorithms with gradient approximations based on function measurements. - James C. Spall (WSC, 1994)

Sensitivity of a Bayesian Analysis to the Prior Distribution. - Stacy D. Hill; James C. Spall (IEEE Trans. Syst. Man Cybern. Syst., 1994)

Stochastic Version of Second-Order (Newton-Raphson) Optimization Using only Function Measurements. - James C. Spall (WSC, 1995)

Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology. - John L. Maryak; James C. Spall; Geoffrey L. Silberman (Autom., 1995)

The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions. - James C. Spall (Autom., 1995)

A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges. - James C. Spall; Mark S. Asher; John L. Maryak (ICNN, 1996)

Model-free control of nonlinear stochastic systems in discrete time. - James C. Spall; John A. Cristion (ICNN, 1996)

A one-measurement form of simultaneous perturbation stochastic approximation. - James C. Spall (Autom., 1997)

A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment. - James C. Spall; John A. Cristion (IEEE Trans. Syst. Man Cybern. Part B, 1997)

Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation. - Payman Sadegh; James C. Spall (IEEE Trans. Autom. Control., 1998)

Model-free control of nonlinear stochastic systems with discrete-time measurements. - James C. Spall; John A. Cristion (IEEE Trans. Autom. Control., 1998)

Theoretical comparisons of evolutionary computation and other optimization approaches. - James C. Spall; Stacy D. Hill; David R. Stark (CEC, 1999)

Stochastic optimization and the simultaneous perturbation method. - James C. Spall (WSC, 1999)

Review Of Stochastic Approximation Algorithms And Applications [Book Reviews]. - James C. Spall (Proc. IEEE, 1999)

Correction to "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation". - Payman Sadegh; James C. Spall (IEEE Trans. Autom. Control., 1999)

Inequality-based reliability estimates for complex systems. - Stacy D. Hill; James C. Spall (ACC, 2000)

Some theoretical comparisons of stochastic optimization approaches. - James C. Spall; Stacy D. Hill; David R. Stark (ACC, 2000)

First Results on Formal Comparison of Several Stochastic Optimization Algorithms. - James C. Spall; Stacy D. Hill; David R. Stark (Annual Simulation Symposium, 2000)

Adaptive stochastic approximation by the simultaneous perturbation method. - James C. Spall (IEEE Trans. Autom. Control., 2000)

Computable bounds on the rate of convergence in evolutionary computation. - David R. Stark; James C. Spall (ACC, 2001)

Estimation via Markov chain Monte Carlo. - James C. Spall (ACC, 2002)

Theoretical framework for comparing several popular stochastic optimization approaches. - James C. Spall; Stacy D. Hill; David R. Stark (ACC, 2002)

Introduction to stochastic search and optimization - estimation, simulation, and control. - James C. Spall (Wiley, 2003)

Monte Carlo-based computation of the Fisher information matrix in nonstandard settings. - James C. Spall (ACC, 2003)

Rate of convergence in evolutionary computation. - David R. Stark; James C. Spall (ACC, 2003)

Robust neural network tracking controller using simultaneous perturbation stochastic approximation. - Qing Song 001; James C. Spall; Yeng Chai Soh (CDC, 2003)

Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. - I-Jeng Wang; James C. Spall (CDC, 2003)

Inequality-based estimates of systems reliability. - Stacy D. Hill; James C. Spall (ACC, 2004)

Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems. - James C. Spall (ACC, 2004)

Stochastic approximation in finite samples using surrogate processes. - David W. Hutchison; James C. Spall (CDC, 2004)

Use of the Kalman filter for inference in state-space models with unknown noise distributions. - John L. Maryak; James C. Spall; Bryan D. Heydon (IEEE Trans. Autom. Control., 2004)

Formal basis for algorithm comparisons in stochastic optimization. - James C. Spall; Stacy D. Hill; David R. Stark (ACC, 2005)

A Method for Stopping Nonconvergent Stochastic Approximation Processes. - David W. Hutchison; James C. Spall (CDC/ECC, 2005)

Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm. - James C. Spall (ACC, 2006)

Seesaw method for combining parameter estimates. - James C. Spall (ACC, 2006)

Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach. - Sonjoy Das; Roger G. Ghanem; James C. Spall (CDC, 2006)

Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. - James C. Spall (CDC, 2006)

Variance of Bounds in Inequality-Based Reliability Estimates. - Stacy D. Hill; James C. Spall (ACC, 2007)

An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information. - Sonjoy Das; James C. Spall; Roger G. Ghanem (CDC, 2007)

Improved methods for Monte Carlo estimation of the fisher information matrix. - James C. Spall (ACC, 2008)

Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood. - James C. Spall (PerMIS, 2008)

Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions. - I-Jeng Wang; James C. Spall (Int. J. Control, 2008)

Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach. - Sonjoy Das; Roger G. Ghanem; James C. Spall (SIAM J. Sci. Comput., 2008)

Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. - Qing Song 001; James C. Spall; Yeng Chai Soh; Jie Ni (IEEE Trans. Neural Networks, 2008)

Stopping small-sample stochastic approximation. - David W. Hutchison; James C. Spall (ACC, 2009)

System reliability estimation and confidence regions from subsystem and full system tests. - James C. Spall (ACC, 2009)

Preliminary results on relative performance of expected and observed fisher information. - Xumeng Cao; James C. Spall (CDC, 2009)

Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates. - Xumeng Cao; James C. Spall (CISS, 2009)

On Monte Carlo methods for estimating the fisher information matrix in difficult problems. - James C. Spall (CISS, 2009)

Optimum combination of full system and subsystem tests for estimating the reliability of a system. - Coire J. Maranzano; James C. Spall (PerMIS, 2009)

Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. - James C. Spall (IEEE Trans. Autom. Control., 2009)

Robust test design for reliability estimation with modeling error when combining full system and subsystem tests. - Coire J. Maranzano; James C. Spall (ACC, 2010)

Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests. - James C. Spall (CDC, 2010)

Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests. - Coire J. Maranzano; James C. Spall (PerMIS, 2010)

Efficient Monte Carlo computation of Fisher information matrix using prior information. - Sonjoy Das; James C. Spall; Roger G. Ghanem (Comput. Stat. Data Anal., 2010)

Inequality-based reliability estimates for complex systems. - Stacy D. Hill; James C. Spall; Coire J. Maranzano (ACC, 2011)

Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements. - Qi Wang; James C. Spall (ACC, 2011)

Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs. - Coire J. Maranzano; James C. Spall (CDC/ECC, 2011)

Cyclic seesaw optimization and identification. - James C. Spall (CDC/ECC, 2011)

Cyclic seesaw optimization with applications to state-space model identification. - James C. Spall (CISS, 2011)

Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates. - Xumeng Cao; James C. Spall (ACC, 2012)

Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests. - James C. Spall (ACC, 2012)

Cyclic Seesaw Process for Optimization and Identification. - James C. Spall (J. Optim. Theory Appl., 2012)

Parameter estimation for systems with binary subsystems. - James C. Spall (ACC, 2013)

Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm. - Qi Wang; James C. Spall (ACC, 2013)

Maximum likelihood-based estimation of parameters in systems with binary subsystems. - James C. Spall (CISS, 2013)

Cyclic stochastic optimization with noisy function measurements. - Karla Hernandez; James C. Spall (ACC, 2014)

Discrete simultaneous perturbation stochastic approximation for resource allocation in public health. - Qi Wang; James C. Spall (ACC, 2014)

Identification for Systems With Binary Subsystems. - James C. Spall (IEEE Trans. Autom. Control., 2014)

System identification for multi-sensor data fusion. - Karla Hernandez; James C. Spall (ACC, 2015)

Error bound analysis of the least-mean-squares algorithm in linear models. - Jingyi Zhu; James C. Spall (CISS, 2015)

Integrated stochastic optimization and statistical experimental design for multi-robot target tracking. - Timothy H. Chung; James C. Spall (WSC, 2015)

Multi-agent surveillance and tracking using cyclic stochastic gradient. - Carsten H. Botts; James C. Spall; Andrew J. Newman (ACC, 2016)

Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm. - Karla Hernandez; James C. Spall (ACC, 2016)

Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems. - Xilei Zhao; James C. Spall (ACC, 2016)

Tracking capability of stochastic gradient algorithm with constant gain. - Jingyi Zhu; James C. Spall (CDC, 2016)

Efficient implementation of enhanced adaptive simultaneous perturbation algorithms. - Pushpendre Rastogi; Jingyi Zhu; James C. Spall (CISS, 2016)

Beyond the identification of reliability for system with binary subsystems. - Long Wang 016; James C. Spall (ACC, 2017)

Efficient computation of the Fisher information matrix in the EM algorithm. - Lingyao Meng; James C. Spall (CISS, 2017)

Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall. - Long Wang 016; Guanbo Bian; James C. Spall; Benjamin W. Schafer (ACC, 2018)

Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements. - Long Wang 016; Jingyi Zhu; James C. Spall (ACC, 2018)

A Markovian Framework for Modeling Dynamic Network Traffic. - Xilei Zhao; James C. Spall (ACC, 2018)

Probabilistic Bounds in Tracking a Discrete-Time Varying Process. - Jingyi Zhu; James C. Spall (CDC, 2018)

Modeling Traffic Networks Using Integrated Route and Link Data. - Xilei Zhao; James C. Spall (CoRR, 2018)

Error Analysis for the Particle Filter. - Ziyu Liu 001; Shihong Wei; James C. Spall (ACC, 2019)

SPSA Method Using Diagonalized Hessian Estimate. - Shiqing Sun; James C. Spall (CDC, 2019)

Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method. - Shuyu Liu; Yingze Hou; James C. Spall (CISS, 2019)

Error Estimation for the Particle Filter. - Ziyu Liu 001; James C. Spall (CISS, 2019)

Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation. - Karla Hernandez; James C. Spall (Autom., 2019)

Multilevel Data Integration with Application in Sensor Networks. - Long Wang 016; James C. Spall (ACC, 2020)

Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case. - Xiangyu Yuan; James C. Spall (ACC, 2020)

Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. - Jingyi Zhu; Long Wang 016; James C. Spall (IEEE Trans. Neural Networks Learn. Syst., 2020)

Improved SPSA Using Complex Variables with Applications in Optimal Control Problems. - Long Wang 016; James C. Spall (ACC, 2021)

SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints. - Jiahao Shi; James C. Spall (ACC, 2021)

Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case. - Shihong Wei; James C. Spall (ACC, 2021)

Model-Free Optimal Control using SPSA with Complex Variables. - Long Wang 016; Jingyi Zhu; James C. Spall (CISS, 2021)

Comparison between Expected and Observed Fisher Information in Interval Estimation. - Sihang Jiang; James C. Spall (CISS, 2021)

Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization. - Shiqing Sun; James C. Spall (CISS, 2021)

Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations. - Xuan Wu; James C. Spall (CISS, 2021)

Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters. - Shihong Wei; James C. Spall (ACC, 2022)

Discrete Stochastic Optimization for Public Health Interventions with Constraints. - Zewei Li; James C. Spall (Oper. Res. Forum, 2022)

Formal Comparison of Simultaneous Perturbation Stochastic Approximation and Random Direction Stochastic Approximation ∗. - Ducheng Peng; Yiwen Chen; James C. Spall (ACC, 2023)

Quantifying the Estimation Error for a Constant-Gain Tracker. - Shihong Wei; James C. Spall (ACC, 2023)

Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems. - James Cheng Peng; James C. Spall (CISS, 2023)

Langevin Monte Carlo with SPSA-approximated Gradients. - Shiqing Sun; James C. Spall (CISS, 2023)

Metropolis-Adjusted Langevin Algorithm with SPSA-Approximated Gradients. - Shiqing Sun; James C. Spall (ACC, 2024)

Difference Between Cyclic and Distributed Approach in Stochastic Optimization for Multi-agent System. - Jiahao Shi; James C. Spall (CoRR, 2024)

Stochastic Stability of Kalman-Type Nonlinear Filters. - Shihong Wei; James C. Spall (ACC, 2025)

Simulation-Based Optimization for Policy Incentives and Planning of Hybrid Microgrids. - Nanrui Gong; James C. Spall (CISS, 2025)

Comparative Confidence Regions using Expected and Observed Fisher Information. - Geng Zhang; James C. Spall (CISS, 2025)