| Tracking capability of stochastic gradient algorithm with constant gain J Zhu, JC Spall 55th Conference on Decision and Control, 4522-4527, 2016 | 23 | 2016 |
| Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems J Zhu, L Wang, JC Spall Transactions on Neural Networks and Learning Systems 31 (8), 3087-3099, 2019 | 17 | 2019 |
| Stochastic Approximation with Non-Decaying Gain: Error Bound and Data-Driven Gain-Tuning J Zhu, JC Spall International Journal of Robust and Nonlinear Control 30 (15), 5820-5870, 2020 | 15 | 2020 |
| Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements L Wang, J Zhu, JC Spall 59th American Control Conference, 3774-3779, 2018 | 15 | 2018 |
| Probabilistic Bounds in Tracking a Discrete-Time Varying Process J Zhu, JC Spall 57th Conference on Decision and Control, 4849-4854, 2018 | 14 | 2018 |
| Hessian Estimation via Stein’s Identity in Black-Box Problems J Zhu Mathematical and Scientific Machine Learning, 1161-1178, 2022 | 7 | 2022 |
| Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Oracles J Zhu Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10 …, 2021 | 7* | 2021 |
| Efficient implementation of enhanced adaptive simultaneous perturbation algorithms JCS Pushpendre Rastogi, Jingyi Zhu 50th Conference on Information Sciences and Systems, 2016 | 7* | 2016 |
| Model-Free Optimal Control using SPSA with Complex Variables L Wang, J Zhu, JC Spall 55th Conference on Information Sciences and Systems, 2021 | 6 | 2021 |
| A Comparison of the Finite Difference and Simultaneous Perturbation Gradient Estimation Methods with Noisy Function Evaluations A Blakney, J Zhu 53rd Conference on Information Sciences and Systems, 2019 | 6 | 2019 |
| Error Bounds and Applications for Stochastic Approximation with Non-Decaying Gain J Zhu http://jhir.library.jhu.edu/handle/1774.2/62504, 2020 | 5 | 2020 |
| Error bound analysis of the least-mean-squares algorithm in linear models J Zhu, JC Spall 49th Conference on Information Sciences and Systems, 2015 | 4 | 2015 |
| Multi-Labeling Service for Auto-Targeting Pipeline in Job Recommendation L Ji, J Zhu, Y Sun, C Li, X Yang First International Workshop on Computational Jobs Marketplace, https …, 2022 | | 2022 |
James SpallThe Johns Hopkins UniversityVerified email at jhuapl.edu
