Andrew G. Lamperski

83 papers A* 6C 12Journal 41Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds. CoRR Mikil Foss, Andrew G. Lamperski
2025	C	`conf`	Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications. ACC Andrew G. Lamperski, Siddharth Salapaka
2025	J	`jnl`	Non-Asymptotic Analysis of Classical Spectrum Estimators for CoRR Yuping Zheng, Andrew G. Lamperski
2025	C	`conf`	Non-Asymptotic Analysis of Classical Spectrum Estimators with L-mixing Time-series Data. ACC Yuping Zheng, Andrew G. Lamperski
2025	J	`jnl`	Non-Asymptotic Error Bounds for Causally Conditioned Directed Information Rates of Gaussian Sequences. CoRR Yuping Zheng, Andrew G. Lamperski
2025	J	`jnl`	Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential. CoRR Yuping Zheng, Andrew G. Lamperski
2024	—	`conf`	Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control. CDC Andrew G. Lamperski, Tyler Lekang
2024	J	`jnl`	Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control. CoRR Andrew G. Lamperski, Tyler Lekang
2024	J	`jnl`	Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications. CoRR Andrew G. Lamperski, Siddharth Salapaka
2024	C	`conf`	Statistical Bounds on Identified QSR Dissipative Properties from Input-Output Data. ACC Logan Anderson, Ryan James Caverly, Andrew G. Lamperski
2023	J	`jnl`	Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control. CoRR Tyler Lekang, Andrew G. Lamperski
2023	C	`conf`	Gain-Scheduled QSR-Dissipative Systems: An Input-Output Approach. ACC Logan Anderson, Ryan James Caverly, Andrew G. Lamperski
2023	J	`jnl`	Mode switching in organisms for solving explore-versus-exploit problems. Nat. Mac. Intell. Debojyoti Biswas, Andrew G. Lamperski, Yu Yang, Kathleen Hoffman, John Guckenheimer, Eric S. Fortune, Noah J. Cowan
2023	J	`jnl`	Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators. CoRR Andrew G. Lamperski
2023	J	`jnl`	Nonasymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators. IEEE Trans. Signal Process. Andrew G. Lamperski
2023	J	`jnl`	Topology Learning in Radial Dynamical Systems With Unreliable Data. IEEE Trans. Control. Netw. Syst. Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andrew G. Lamperski, Murti V. Salapaka
2022	A*	`conf`	Constrained Langevin Algorithms with L-mixing External Random Variables. NeurIPS Yuping Zheng, Andrew G. Lamperski
2022	J	`jnl`	Constrained Langevin Algorithms with L-mixing External Random Variables. CoRR Yuping Zheng, Andrew G. Lamperski
2022	J	`jnl`	Effects of Data Corruption on Network Identification Using Directed Information. IEEE Trans. Autom. Control. Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2022	—	`conf`	Neural Network Independence Properties with Applications to Adaptive Control. CDC Andrew G. Lamperski
2022	J	`jnl`	Newton's Method, Bellman Recursion and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. Dyn. Games Appl. Bolei Di, Andrew G. Lamperski
2022	—	`conf`	Sufficient Conditions for Persistency of Excitation with Step and ReLU Activation Functions. CDC Tyler Lekang, Andrew G. Lamperski
2021	C	`conf`	Confidence Bounds on Identification of Linear Systems with Multiplicative Noise. ACC Bolei Di, Andrew G. Lamperski
2021	J	`jnl`	Network Structure Identification From Corrupt Data Streams. IEEE Trans. Autom. Control. Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2021	A*	`conf`	Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. COLT Andrew G. Lamperski
2021	—	`conf`	Wasserstein Contraction Bounds on Closed Convex Domains with Applications to Stochastic Adaptive Control. CDC Tyler Lekang, Andrew G. Lamperski
2020	J	`jnl`	Causal Structure Identification from Corrupt Data-Streams. CoRR Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2020	—	`conf`	Computing Stabilizing Linear Controllers via Policy Iteration. CDC Andrew G. Lamperski
2020	J	`jnl`	First-Order Algorithms for Constrained Nonlinear Dynamic Games. CoRR Bolei Di, Andrew G. Lamperski
2020	C	`conf`	Inverse Differential Games With Mixed Inequality Constraints. ACC Chaitanya Awasthi, Andrew G. Lamperski
2020	C	`conf`	Local First-Order Algorithms for Constrained Nonlinear Dynamic Games. ACC Bolei Di, Andrew G. Lamperski
2020	J	`jnl`	Moment analysis of stochastic hybrid systems using semidefinite programming. Autom. Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh
2020	J	`jnl`	Network Structure Identification from Corrupt Data Streams. CoRR Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2020	—	`conf`	Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. CDC Bruce Lee, Andrew G. Lamperski
2020	J	`jnl`	Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. CoRR Andrew G. Lamperski
2020	A*	`conf`	Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. AAAI Jianjun Yuan, Andrew G. Lamperski
2019	J	`jnl`	Analysis and Control of Stochastic Systems Using Semidefinite Programming Over Moments. IEEE Trans. Autom. Control. Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh
2019	—	`conf`	Corruption Detection in Networks of Bi-directional Dynamical Systems. CDC Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2019	—	`conf`	Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. CDC Bolei Di, Andrew G. Lamperski
2019	J	`jnl`	Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. CoRR Bolei Di, Andrew G. Lamperski
2019	J	`jnl`	Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. CoRR Bruce Lee, Andrew G. Lamperski
2019	A*	`conf`	Online Adaptive Principal Component Analysis and Its extensions. ICML Jianjun Yuan, Andrew G. Lamperski
2019	J	`jnl`	Online Adaptive Principal Component Analysis and Its extensions. CoRR Jianjun Yuan, Andrew G. Lamperski
2019	J	`jnl`	Simple Algorithms for Dueling Bandits. CoRR Tyler Lekang, Andrew G. Lamperski
2019	J	`jnl`	Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. CoRR Jianjun Yuan, Andrew G. Lamperski
2018	C	`conf`	A Random Algorithm for Semidefinite Programming Problems. ACC Jianjun Yuan, Andrew G. Lamperski
2018	—	`conf`	Estimating stationary characteristic functions of stochastic systems via semidefinite programming. ECC Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh
2018	—	`conf`	Inferring Directed Graphs for Networks from Corrupt Data-Streams. CDC Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2018	J	`jnl`	Online Convex Optimization for Cumulative Constraints. CoRR Jianjun Yuan, Andrew G. Lamperski
2018	A*	`conf`	Online convex optimization for cumulative constraints. NeurIPS Jianjun Yuan, Andrew G. Lamperski
2017	—	`conf`	A semidefinite programming method for moment approximation in stochastic differential algebraic systems. CDC Andrew G. Lamperski, Sairaj V. Dhople
2017	—	`conf`	Approximate moment dynamics for polynomial and trigonometric stochastic systems. CDC Khem Raj Ghusinga, Mohammad Soltani, Andrew G. Lamperski, Sairaj V. Dhople, Abhyudai Singh
2017	—	`conf`	Network topology identification from corrupt data streams. CDC Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
2017	C	`conf`	Online control basis selection by a regularized actor critic algorithm. ACC Jianjun Yuan, Andrew G. Lamperski
2017	J	`jnl`	Seizure Control in a Computational Model Using a Reinforcement Learning Stimulation Paradigm. Int. J. Neural Syst. Vivek Nagaraj, Andrew G. Lamperski, Theoden I. Netoff
2016	C	`conf`	(Un)ambiguous optimal control. ACC Andrew G. Lamperski, Bolei Di, Tyler Lekang, Jinsun Liu, Ran Tian
2016	J	`jnl`	Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems. IEEE Trans. Autom. Control. Tichakorn Wongpiromsarn, Ufuk Topcu, Andrew G. Lamperski
2016	—	`conf`	Natural gradients for state and output feedback control. CDC Andrew G. Lamperski
2016	J	`jnl`	Optimal Control With Noisy Time. IEEE Trans. Autom. Control. Andrew G. Lamperski, Noah J. Cowan
2016	—	`conf`	Stochastic optimal control using semidefinite programming for moment dynamics. CDC Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh
2015	J	`jnl`	Optimal decentralized state-feedback control with sparsity and delays. Autom. Andrew G. Lamperski, Laurent Lessard
2015	J	`jnl`	The ℋ IEEE Trans. Autom. Control. Andrew G. Lamperski, John C. Doyle
2014	J	`jnl`	Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems. CoRR Tichakorn Wongpiromsarn, Ufuk Topcu, Andrew G. Lamperski
2014	J	`jnl`	Optimal Control with Noisy Time. CoRR Andrew G. Lamperski, Noah J. Cowan
2014	J	`jnl`	Optimal Two Player LQR State Feedback With Varying Delay. CoRR Nikolai Matni, Andrew G. Lamperski, John C. Doyle
2014	—	`conf`	Stability and consensus for multi-agent systems with Poisson clock noise. CDC Andrew G. Lamperski, Antonis Papachristodoulou
2013	J	`jnl`	Lyapunov Theory for Zeno Stability. IEEE Trans. Autom. Control. Andrew G. Lamperski, Aaron D. Ames
2013	J	`jnl`	Optimal Decentralized State-Feedback Control with Sparsity and Delays. CoRR Andrew G. Lamperski, Laurent Lessard
2013	C	`conf`	Output feedback ℌ2 model matching for decentralized systems with delays. ACC Andrew G. Lamperski, John C. Doyle
2013	J	`jnl`	The $H_2$ Control Problem for Decentralized Systems with Delays. CoRR Andrew G. Lamperski, John C. Doyle
2013	—	`conf`	Time-changed linear quadratic regulators. ECC Andrew G. Lamperski, Noah J. Cowan
2012	C	`conf`	Dynamic programming solutions for decentralized state-feedback LQG problems with communication delays. ACC Andrew G. Lamperski, John C. Doyle
2012	J	`jnl`	Output Feedback H_2 Model Matching for Decentralized Systems with Delays CoRR Andrew G. Lamperski, John C. Doyle
2012	J	`jnl`	Verification of Periodically Controlled Hybrid Systems: Application to an Autonomous Vehicle. ACM Trans. Embed. Comput. Syst. Tichakorn Wongpiromsarn, Sayan Mitra, Andrew G. Lamperski, Richard M. Murray
2011	—	`conf`	On the structure of state-feedback LQG controllers for distributed systems with communication delays. CDC/ECC Andrew G. Lamperski, John C. Doyle
2010	—	`conf`	A neuro-inspired method for data rate limited feedback control. CDC Andrew G. Lamperski
2009	—	`conf`	Periodically Controlled Hybrid Systems. HSCC Tichakorn Wongpiromsarn, Sayan Mitra, Richard M. Murray, Andrew G. Lamperski
2009	—	`conf`	Representations and algorithms for finite-state bisimulations of linear discrete-time control systems. CDC Andrew G. Lamperski
2008	—	`conf`	On the existence of Zeno behavior in hybrid systems with non-isolated Zeno equilibria. CDC Andrew G. Lamperski, Aaron D. Ames
2008	—	`conf`	Sufficient Conditions for Zeno Behavior in Lagrangian Hybrid Systems. HSCC Andrew G. Lamperski, Aaron D. Ames
2008	J	`jnl`	Templates and Anchors for Antenna-Based Wall Following in Cockroaches and Robots. IEEE Trans. Robotics Jusuk Lee, S. N. Sponberg, Owen Y. Loh, Andrew G. Lamperski, Robert J. Full, Noah J. Cowan
2007	—	`conf`	Lyapunov-Like Conditions for the Existence of Zeno Behavior in Hybrid and Lagrangian Hybrid Systems. CDC Andrew G. Lamperski, Aaron D. Ames
2005	A*	`conf`	Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor. ICRA Andrew G. Lamperski, Owen Y. Loh, Brett L. Kutscher, Noah J. Cowan