J. Spall

James C. Spall, D. R. Stark, J. Spall, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Use of the Kalman filter for inference in state-space models with unknown noise distributions

J. L. Maryak, J. Spall, B. D. Heydon, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

IEEE Transactions on Automatic Control

Fernando Paganini, Miroslav Krstic, Magnus Egerstedt, 2006 .

Inequality-based reliability estimates for complex systems

J. Spall, S. Hill, C. J. Maranzano, 2013, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Inequality-based reliability estimates for complex systems

James C. Spall, Stacy D. Hill, Coire J. Maranzano, 2011, Proceedings of the 2011 American Control Conference.

Validation of state-space models from a single realization of non-Gaussian measurements

James C. Spall, J. Spall, 1985 .

CONTROL OF COMPLEX DUNAMIC SYSTEMS BY NEURAL NGWORKS 14

J. Spall, J. Cristion, 2011 .

Robust test design for reliability estimation with modeling error when combining full system and subsystem tests

Coire J. Maranzano, J. Spall, C. J. Maranzano, 2010, Proceedings of the 2010 American Control Conference.

Seesaw method for combining parameter estimates

J. Spall, 2005, 2005 7th International Conference on Information Fusion.

Sensitivity of a Bayesian Analysis to the Prior Distribution

J. Spall, S. Hill, 1994, IEEE Trans. Syst. Man Cybern. Syst..

Asymptotic distribution theory for the kalman filter state estimator

J. Spall, K. Wall, 1984 .

The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions

James C. Spall, J. Spall, 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

Resampling-based calculation of the information matrix for general identification problems

J. Spall, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Least-informative Bayesian prior distributions for finite samples based on information theory

S. D. Hill, James C. Spall, J. Spall, 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

Simulation-Based Optimization with Stochastic Approximation Using Common Random Numbers

J. Spall, D. Naiman, N. Kleinman, 1999 .

Implementation of the simultaneous perturbation algorithm for stochastic optimization

J. Spall, 1998 .

An Approach to Isolating Sources of Errors in Invalid State Space Models based on Stochastic Approximation

J. Spall, Matthew I. Koch, 1985, 1985 American Control Conference.

An Efficient Multistep Stochastic Approximation Algorithm

J. Spall, Matthew I. Koch, 1986, 1986 American Control Conference.

Theoretical framework for comparing several popular stochastic optimization approaches

J. Spall, D. R. Stark, S. Hill, 2002 .

Discrete simultaneous perturbation stochastic approximation for resource allocation in public health

Qi Wang, James C. Spall, J. Spall, 2014, 2014 American Control Conference.

Theoretical framework for comparing several popular stochastic optimization approaches

J. Spall, D. R. Stark, S. Hill, 2002 .

Accelerated second-order stochastic optimization using only function measurements

J. Spall, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Traffic-responsive signal timing for system-wide traffic control

D. C. Chin, J. Spall, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Review of Stochastic Approximation Algorithms and Applica

James C. Spall, H. J. Kushner, G. G. Yin, 1999 .

Hybrid training of optical neural networks

J. Spall, A. Lvovsky, Xianxin Guo, 2022, Optica.

Stochastic Optimization, Stochastic Approximation and Simulated Annealing

J. Spall, 1999 .

A stochastic approximation algorithm for large-dimensional systems in the Kiefer-Wolfowitz setting

J. Spall, 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation

J. Spall, P. Sadegh, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Bayesian error isolation for models of large-scale systems

J. Spall, 1988 .

Stochastic approximation for neural network weight estimation in the control of uncertain nonlinear systems

J. Spall, J. Cristion, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Optimal sensor configuration for complex systems

J. Spall, P. Sadegh, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

The distribution of nonstationary autoregressive processes under general noise conditions

J. C. Spall, J. Spall, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation

J. Spall, J. Cristion, 1994, Proceedings of 1994 American Control Conference - ACC '94.

United States Patent ( 19 ) Spall

J. Spall, 2022 .

Direct adaptive control of nonlinear systems using neural networks and stochastic approximation

J. Spall, J. Cristion, 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

Effect of imprecisely known nuisance parameters on estimates of primary parameters

James C. Spall, J. Spall, 1989 .

A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions

J. Spall, I-Jeng Wang, 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates

J. Spall, X. Cao, 2012, 2012 American Control Conference (ACC).

Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters

J. Spall, Shih-Yen Wei, 2022, 2022 American Control Conference (ACC).

NONSTATIONARY AUTOREGRESSIVE PROCESSES UNDER GENERAL NOISE CONDITIONS

J. Spall, 1993 .

STOCHASTIC OPTIMIZATION

J. Spall, 2002 .

Cyclic Seesaw Process for Optimization and Identification

J. Spall, 2012, Journal of Optimization Theory and Applications.

An approximation for analyzing a broad class of implicitly and explicitly defined estimators

J. Spall, 1986 .

A Feasible Bayesian Estimator of Quantiles for Projectile Accuracy From Non-iid Data

J. L. Maryak, J. Spall, 1992 .

Conditions for the insensitivity of the Bayesian posterior distribution to the choice of prior distribution

J. L. Maryak, James C. Spall, John L. Maryak, 1987 .

Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation

J. Spall, P. Sadegh, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Model-free control of nonlinear stochastic systems with discrete-time measurements

J. Spall, J. Cristion, John A. Cristion, 1998, IEEE Trans. Autom. Control..

Model-Free Optimal Control using SPSA with Complex Variables

J. Spall, Jingyi Zhu, Long Wang, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Weak convergence and the exponential rate of concentration for posterior density functions

J. L. Maryak, J. Spall, 1990 .

An implicit function based procedure for analyzing maximum likelihood estimates from nonidentically distributed data

James C. Spall, J. Spall, 1985 .

Efficient Monte Carlo computation of Fisher information matrix using prior information

James C. Spall, Sonjoy Das, Roger Ghanem, 2007, Comput. Stat. Data Anal..

Monte Carlo Computation of the Fisher Information Matrix in Nonstandard Settings

J. Spall, 2005 .

Markov Chain Monte Carlo

James C. Spall, J. Spall, 2005 .

Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm

James C. Spall, Karla Hernandez, J. Spall, 2016, 2016 American Control Conference (ACC).

Cyclic stochastic optimization with noisy function measurements

James C. Spall, Karla Hernandez, J. Spall, 2014, 2014 American Control Conference.

Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions

I-Jeng Wang, James C. Spall, J. Spall, 2008, Int. J. Control.

Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements

Long Wang, Jingyi Zhu, James C. Spall, 2018, 2018 Annual American Control Conference (ACC).

Adaptive stochastic approximation by the simultaneous perturbation method

J. Spall, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Stochastic optimization and the simultaneous perturbation method

J. Spall, 1999, WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038).

First-order data sensitivity measures with applications to a multivariate signal-plus-noise problem

James C. Spall, D. C. Chin, J. Spall, 1990 .

Use of the Kalman filter for inference in state-space models with unknown noise distributions

J. L. Maryak, James C. Spall, John L. Maryak, 1996, IEEE Transactions on Automatic Control.

Factorial Design for Efficient Experimentation

James C Spall, J. Spall, 2010, IEEE Control Systems.

FACTORIAL DESIGN FOR EFFICIENT EXPERIMENTATION: GENERATING INFORMATIVE DATA FOR SYSTEM IDENTIFICATION

James C. Spall, J. Spall, 2010 .

II . 6 Stochastic Optimization

J. Spall, 2004 .

Effect of uncertain ancillary parameters on maximum likelihood estimates in dynamic models

J. Spall, 1985, 1985 24th IEEE Conference on Decision and Control.

Stochastic version of second-order (Newton-Raphson) optimization using only function measurements

J. Spall, 1995, Winter Simulation Conference Proceedings, 1995..

Identification for Systems With Binary Subsystems

James C. Spall, J. Spall, 2014, IEEE Transactions on Automatic Control.

Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems

Jingyi Zhu, James C. Spall, Long Wang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Comparison between Expected and Observed Fisher Information in Interval Estimation

James C. Spall, Sihang Jiang, J. Spall, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Preliminary results on relative performance of expected and observed fisher information

James C. Spall, Xumeng Cao, J. Spall, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Langevin Monte Carlo with SPSA-approximated Gradients

J. Spall, Shiqing Sun, 2023, 2023 57th Annual Conference on Information Sciences and Systems (CISS).

Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization

James C. Spall, Shiqing Sun, J. Spall, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations

James C. Spall, J. Spall, Xuan Wu, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Stochastic approximation with nondecaying gain: Error bound and data‐driven gain‐tuning

J. Spall, Jingyi Zhu, 2020, International Journal of Robust and Nonlinear Control.

SPSA Method Using Diagonalized Hessian Estimate

James C. Spall, Shiqing Sun, J. Spall, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation

James C. Spall, Karla Hernandez, J. Spall, 2019, Autom..

Efficient computation of the Fisher information matrix in the EM algorithm

James C. Spall, Lingyao Meng, J. Spall, 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

Efficient implementation of enhanced adaptive simultaneous perturbation algorithms

Jingyi Zhu, James C. Spall, Pushpendre Rastogi, 2016, 2016 Annual Conference on Information Science and Systems (CISS).

On Monte Carlo methods for estimating the fisher information matrix in difficult problems

James C. Spall, J. Spall, 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

Improved methods for Monte Carlo estimation of the fisher information matrix

J.C. Spall, J. Spall, 2008, 2008 American Control Conference.

An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2007, 2007 46th IEEE Conference on Decision and Control.

Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm

James C. Spall, J. Spall, 2007, IEEE Transactions on Automatic Control.

Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm

J.C. Spall, J. Spall, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm

J. Spall, 2006, 2006 American Control Conference.

Formal basis for algorithm comparisons in stochastic optimization

J. Spall, D. R. Stark, S. Hill, 2005, Proceedings of the 2005, American Control Conference, 2005..

Simultaneous perturbation optimization for efficient image restoration

J. L. Maryak, J. Spall, 2005, IEEE Transactions on Aerospace and Electronic Systems.

Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems

J. Spall, 2004, Proceedings of the 2004 American Control Conference.

Stochastic search, optimization, and the simultaneous perturbation algorithm - a tutorial

J. C. Spall, J. Spall, 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).

Monte Carlo-based computation of the Fisher information matrix in nonstandard settings

J. Spall, 2003, Proceedings of the 2003 American Control Conference, 2003..

The Fisher Information Matrix : Performance Measure and Monte Carlo-Based Computation

J. Spall, 2003 .

A modified second‐order SPSA optimization algorithm for finite samples

J. Spall, Xun Zhu, 2002 .

Theoretical framework for comparing several popular stochastic optimization approaches

J. Spall, D. R. Stark, S. Hill, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

First results on formal comparison of several stochastic optimization algorithms

James C. Spall, David R. Stark, Stacy D. Hill, 2000, Proceedings 33rd Annual Simulation Symposium (SS 2000).

Some theoretical comparisons of stochastic optimization approaches

J. Spall, D. R. Stark, S. Hill, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Theoretical comparisons of evolutionary computation and other optimization approaches

J. Spall, D. R. Stark, S. Hill, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Rate of convergence in evolutionary computation

D. R. Stark, James C. Spall, J. Spall, 2003, Proceedings of the 2003 American Control Conference, 2003..

Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems

J. Spall, James Cheng Peng, 2023, 2023 57th Annual Conference on Information Sciences and Systems (CISS).

Cyclic Seesaw Process for Optimization and Identification

James C. Spall, J. Spall, 2012, J. Optim. Theory Appl..

Improved SPSA Using Complex Variables with Applications in Optimal Control Problems

James C. Spall, J. Spall, Long Wang, 2021, 2021 American Control Conference (ACC).

Multi-agent surveillance and tracking using cyclic stochastic gradient

James C. Spall, Andrew J. Newman, Carsten H. Botts, 2016, 2016 American Control Conference (ACC).

Parameter estimation for systems with binary subsystems

James C. Spall, J. Spall, 2013, 2013 American Control Conference.

Maximum likelihood-based estimation of parameters in systems with binary subsystems

James C. Spall, J. Spall, 2013, 2013 47th Annual Conference on Information Sciences and Systems (CISS).

Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests

James C. Spall, J. Spall, 2012, 2012 American Control Conference (ACC).

Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests

James C. Spall, Coire J. Maranzano, J. Spall, 2010, PerMIS.

System reliability estimation and confidence regions from subsystem and full system tests

James C. Spall, J. Spall, 2009, 2009 American Control Conference.

Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood

James C. Spall, J. Spall, 2008, PerMIS.

The information matrix in control: computation and some applications

James C. Spall, J. Spall, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Uncertainty Bounds in Parameter Estimation with Limited Data

James C. Spall, J. Spall, 2005 .

Discrete Stochastic Optimization for Public Health Interventions with Constraints

J. Spall, Zewei Li, 2022, Operations Research Forum.

A second order stochastic approximation algorithm using only function measurements

J. Spall, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Formal Comparison of Simultaneous Perturbation Stochastic Approximation and Random Direction Stochastic Approximation ∗

J. Spall, Yiwen Chen, Ducheng Peng, 2023, American Control Conference.

Developments in stochastic optimization algorithms with gradient approximations based on function measurements

James C. Spall, J. Spall, 1994, Proceedings of Winter Simulation Conference.

A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment

J. Spall, J. Cristion, 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

Simultaneous Perturbation Stochastic Approximation

James C. Spall, J. Spall, 2005 .

Robust neural network tracking controller using simultaneous perturbation stochastic approximation

Yeng Chai Soh, Qing Song, J. C. Spall, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions

J. Spall, I-Jeng Wang, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions

J. Spall, I-Jeng Wang, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects

James C. Spall, Stacy D. Hill, J. Spall, 2019, IEEE Control Systems.

Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs

James C. Spall, Coire J. Maranzano, J. Spall, 2011, IEEE Conference on Decision and Control and European Control Conference.

Cyclic seesaw optimization with applications to state-space model identification

James C. Spall, J. Spall, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Control of Complex Dynamic Systems by Neural Networks

James C. Spall, John A. Cristion, J. Spall, 1993 .

Optimum combination of full system and subsystem tests for estimating the reliability of a system

James C. Spall, Coire J. Maranzano, J. Spall, 2009, PerMIS.

Seesaw method for combining parameter estimates

J. Spall, 2006, 2006 American Control Conference.

System Understanding and Statistical Uncertainty Bounds from Limited Test Data

James C. Spall, J. Spall, 1997 .

Parameter identification for state-space models with nuisance parameters

James C. Spall, J. Spall, J. P. Garner, 1990 .

Integrated stochastic optimization and statistical experimental design for multi-robot target tracking

Timothy H. Chung, James C. Spall, J. Spall, 2015, 2015 Winter Simulation Conference (WSC).

Training neural networks with end-to-end optical backpropagation

J. Spall, A. Lvovsky, Xianxin Guo, 2023, ArXiv.

Estimation via Markov chain Monte Carlo

James C. Spall, J. Spall, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).