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Andrew Lamperski

Showing results (1-10 of 6) with videos related to

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Proceedings of Machine Learning Research|June 11, 2026
Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein SubdifferentialYuping Zheng, Andrew Lamperski
International Journal of Neural Systems|December 30, 2016
Seizure Control in a Computational Model Using a Reinforcement Learning Stimulation ParadigmVivek Nagaraj, Andrew Lamperski, Theoden I Netoff
Physical Biology|June 30, 2017
Exact lower and upper bounds on stationary moments in stochastic biochemical systemsKhem Raj Ghusinga, Cesar A Vargas-Garcia, Andrew Lamperski, et al.
Journal of Neural Engineering|December 11, 2025
An augmented preference-based Bayesian approach for optimizing neuromodulation stimulation parameters using meta learningHafsa Farooqi, Zixi Zhao, David Darrow, et al.
Arxiv|June 4, 2026
Active Sensing Subserves Task-Level ControlAndrew Lamperski, Debojyoti Biswas, Eric S Fortune, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 20, 2021
Optimization of Spinal Cord Stimulation Using Bayesian Preference Learning and Its ValidationZixi Zhao, Aliya Ahmadi, Caleb Hoover, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Proceedings of Machine Learning Research|June 11, 2026
Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein SubdifferentialYuping Zheng, Andrew Lamperski
International Journal of Neural Systems|December 30, 2016
Seizure Control in a Computational Model Using a Reinforcement Learning Stimulation ParadigmVivek Nagaraj, Andrew Lamperski, Theoden I Netoff
Physical Biology|June 30, 2017
Exact lower and upper bounds on stationary moments in stochastic biochemical systemsKhem Raj Ghusinga, Cesar A Vargas-Garcia, Andrew Lamperski, et al.
Journal of Neural Engineering|December 11, 2025
An augmented preference-based Bayesian approach for optimizing neuromodulation stimulation parameters using meta learningHafsa Farooqi, Zixi Zhao, David Darrow, et al.
Arxiv|June 4, 2026
Active Sensing Subserves Task-Level ControlAndrew Lamperski, Debojyoti Biswas, Eric S Fortune, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 20, 2021
Optimization of Spinal Cord Stimulation Using Bayesian Preference Learning and Its ValidationZixi Zhao, Aliya Ahmadi, Caleb Hoover, et al.
Pageof 1