Mode scheduling under dwell time constraints in switched-mode systems. - M. T. Hale; Yorai Wardi (ACC, 2014)

Cloud-based optimization: A quasi-decentralized approach to multi-agent coordination. - M. T. Hale; Magnus Egerstedt (CDC, 2014)

Differentially private cloud-based multi-agent optimization with constraints. - M. T. Hale; Magnus Egerstedt (ACC, 2015)

Cloud-based centralized/decentralized multi-agent optimization with communication delays. - Matthew T. Hale; Angelia Nedic; Magnus Egerstedt (CDC, 2015)

Switched-mode systems: gradient-descent algorithms with Armijo step sizes. - Yorai Wardi; Magnus Egerstedt; M. T. Hale (Discret. Event Dyn. Syst., 2015)

Differentially private objective functions in distributed cloud-based optimization. - Yu Wang 044; Matthew T. Hale; Magnus Egerstedt; Geir E. Dullerud (CDC, 2016)

Convergence rate estimates for consensus over random graphs. - Matthew T. Hale; Magnus Egerstedt (ACC, 2017)

On the connectivity of unions of random graphs. - Matthew T. Hale (CDC, 2017)

Asynchronous Multiagent Primal-Dual Optimization. - Matthew T. Hale; Angelia Nedic; Magnus Egerstedt (IEEE Trans. Autom. Control., 2017)

Mixed centralized/decentralized coordination protocols for multi-agent systems. - Matthew T. Hale (2017)

Privacy in Feedback: The Differentially Private LQG. - Matthew T. Hale; Austin Jones; Kevin Leahy 001 (ACC, 2018)

Asynchronous Distributed Optimization with Heterogeneous Regularizations and Normalizations. - Stefan Hochhaus; Matthew T. Hale (CDC, 2018)

Stability of Leaderless Resource Consumption Networks. - Sebastian F. Ruf; Matthew T. Hale; Talha Manzoor; Abubakr Muhammad (CDC, 2018)

Cloud-Enabled Differentially Private Multiagent Optimization With Constraints. - Matthew T. Hale; Magnus Egerstedt (IEEE Trans. Control. Netw. Syst., 2018)

Trust-Driven Privacy in Human-Robot Interactions. - Matthew T. Hale; Tina Setter; Kingsley Fregene (ACC, 2019)

Towards Differential Privacy for Symbolic Systems. - Austin Jones; Kevin Leahy 001; Matthew T. Hale (ACC, 2019)

Design of Sustainable Resource Consumption Networks. - Sebastian F. Ruf; Matthew T. Hale; Talha Manzoor; Abubakr Muhammad (CDC, 2019)

Totally Asynchronous Distributed Quadratic Programming with Independent Stepsizes and Regularizations. - Matthew Ubl; Matthew T. Hale (CDC, 2019)

Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control. - Ali Reza Pedram; Takashi Tanaka; Matthew T. Hale (ITW, 2019)

Differentially Private Controller Synthesis With Metric Temporal Logic Specifications. - Zhe Xu 005; Kasra Yazdani; Matthew T. Hale; Ufuk Topcu (ACC, 2020)

An Algorithm for Multi-Objective Multi-Agent Optimization. - Maude J. Blondin; Matthew T. Hale (ACC, 2020)

The Dirichlet Mechanism for Differential Privacy on the Unit Simplex. - Parham Gohari; Bo Wu 005; Matthew T. Hale; Ufuk Topcu (ACC, 2020)

Error Bounds and Guidelines for Privacy Calibration in Differentially Private Kalman Filtering. - Kasra Yazdani; Matthew T. Hale (ACC, 2020)

Reputation-Based Event-Triggered Formation Control and Leader Tracking with Resilience to Byzantine Adversaries. - Federico M. Zegers; Matthew T. Hale; John M. Shea; Warren E. Dixon (ACC, 2020)

Resource allocation with local QoS: Flexible loads in the power grid. - Austin R. Coffman; Matthew T. Hale; Prabir Barooah (CCTA, 2020)

Privacy-Preserving Policy Synthesis in Markov Decision Processes. - Parham Gohari; Matthew T. Hale; Ufuk Topcu (CDC, 2020)

Differentially Private Formation Control. - Calvin Hawkins; Matthew T. Hale (CDC, 2020)

Towards Totally Asynchronous Primal-Dual Convex Optimization in Blocks. - Katherine R. Hendrickson; Matthew T. Hale (CDC, 2020)

Predictive resource allocation for flexible loads with local QoS. - Austin R. Coffman; Matthew T. Hale; Prabir Barooah (CoRR, 2020)

Stability and Sustainability of a Networked Resource Consumption Model. - Matthew T. Hale; Sebastian F. Ruf; Talha Manzoor; Abubakr Muhammad (IEEE Trans. Netw. Sci. Eng., 2020)

Edge Differential Privacy for Algebraic Connectivity of Graphs. - Bo Chen; Calvin Hawkins; Kasra Yazdani; Matthew T. Hale (CDC, 2021)

Exponentially Converging Distributed Gradient Descent with Intermittent Communication via Hybrid Methods. - Katherine R. Hendrickson; Dawn M. Hustig-Schultz; Matthew T. Hale; Ricardo G. Sanfelice (CDC, 2021)

Privacy-Preserving Teacher-Student Deep Reinforcement Learning. - Parham Gohari; Bo Chen; Bo Wu 005; Matthew T. Hale; Ufuk Topcu (CoRR, 2021)

A Decentralized Multi-objective Optimization Algorithm. - Maude J. Blondin; Matthew T. Hale (J. Optim. Theory Appl., 2021)

Nonasymptotic Connectivity of Random Graphs and Their Unions. - Beth Bjorkman; Matthew T. Hale; Thomas D. Lamkin; Benjamin D. Robinson; Craig Thompson (IEEE Trans. Control. Netw. Syst., 2021)

Totally Asynchronous Large-Scale Quadratic Programming: Regularization, Convergence Rates, and Parameter Selection. - Matthew Ubl; Matthew T. Hale (IEEE Trans. Control. Netw. Syst., 2021)

Event-Triggered Formation Control and Leader Tracking With Resilience to Byzantine Adversaries: A Reputation-Based Approach. - Federico M. Zegers; Matthew T. Hale; John M. Shea; Warren E. Dixon (IEEE Trans. Control. Netw. Syst., 2021)

Differential Privacy on the Unit Simplex via the Dirichlet Mechanism. - Parham Gohari; Bo Wu 005; Calvin Hawkins; Matthew T. Hale; Ufuk Topcu (IEEE Trans. Inf. Forensics Secur., 2021)

Faster Asynchronous Nonconvex Block Coordinate Descent with Locally Chosen Stepsizes. - Matthew Ubl; Matthew T. Hale (CDC, 2022)

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. - Skylar E. Stolte; Kyle Volle; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Kevin M. Brink; Matthew T. Hale; Ruogu Fang (MICCAI (5), 2022)

Fast Verification of Control Barrier Functions via Linear Programming. - Ellie Pond; Matthew T. Hale (CoRR, 2022)

Asynchronous Parallel Nonconvex Optimization Under the Polyak-Łojasiewicz Condition. - Kasra Yazdani; Matthew T. Hale (IEEE Control. Syst. Lett., 2022)

Spectral Differential Privacy: Application to Smart Meter Data. - Kendall Parker; Matthew T. Hale; Prabir Barooah (IEEE Internet Things J., 2022)

Linear Regularizers Enforce the Strict Saddle Property. - Matthew Ubl; Matthew Hale 001; Kasra Yazdani (AAAI, 2023)

A Totally Asynchronous Block-Based Heavy Ball Algorithm for Convex Optimization. - Dawn M. Hustig-Schultz; Katherine R. Hendrickson; Matthew Hale 001; Ricardo G. Sanfelice (ACC, 2023)

Distributed Reproduction Numbers of Networked Epidemics. - Baike She; Philip E. Paré; Matthew Hale 001 (ACC, 2023)

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism. - Brandon Fallin; Calvin Hawkins; Bo Chen; Parham Gohari; Alexander Benvenuti; Ufuk Topcu; Matthew T. Hale (CDC, 2023)

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning. - Parham Gohari; Matthew T. Hale; Ufuk Topcu (CDC, 2023)

Characterizing Compositionality of LQR from the Categorical Perspective. - Baike She; Tyler Hanks; James P. Fairbanks; Matthew Hale 001 (CDC, 2023)

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. - Skylar E. Stolte; Kyle Volle; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Kevin M. Brink; Matthew T. Hale; Ruogu Fang (MICCAI (4), 2023)

Differential Privacy in Cooperative Multiagent Planning. - Bo Chen; Calvin Hawkins; Mustafa O. Karabag; Cyrus Neary; Matthew T. Hale; Ufuk Topcu (UAI, 2023)

Differentially Private Reward Functions for Multi-Agent Markov Decision Processes. - Alexander Benvenuti; Calvin Hawkins; Brandon Fallin; Bo Chen; Brendan J. Bialy; Miriam E. Dennis; Matthew T. Hale (CoRR, 2023)

Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach. - Baike She; Lei Xin; Philip E. Paré; Matthew T. Hale (CoRR, 2023)

Anomaly Search Over Many Sequences With Switching Costs. - Matthew Ubl; Benjamin D. Robinson; Matthew T. Hale (IEEE Control. Syst. Lett., 2023)

Differentially Private LQ Control. - Kasra Yazdani; Austin Jones; Kevin Leahy 001; Matthew T. Hale (IEEE Trans. Autom. Control., 2023)

DOMINO: Domain-aware loss for deep learning calibration. - Skylar E. Stolte; Kyle Volle; Aprinda Indahlastari; Alejandro Albizu; Adam J. Woods; Kevin M. Brink; Matthew T. Hale; Ruogu Fang (Softw. Impacts, 2023)

Totally Asynchronous Primal-Dual Convex Optimization in Blocks. - Katherine R. Hendrickson; Matthew T. Hale (IEEE Trans. Control. Netw. Syst., 2023)

Differential privacy for symbolic systems with application to Markov Chains. - Bo Chen; Kevin Leahy 001; Austin Jones; Matthew Hale 001 (Autom., 2023)

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models. - Bo Chen; Baike She; Calvin Hawkins; Alexander Benvenuti; Brandon Fallin; Philip E. Paré; Matthew Hale 001 (ACC, 2024)

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. - Tyler Hanks; Baike She; Evan Patterson; Matthew Hale 001; Matthew Klawonn; James P. Fairbanks (ACC, 2024)

Differentially Private Reward Functions for Markov Decision Processes. - Alexander Benvenuti; Calvin Hawkins; Brandon Fallin; Bo Chen; Brendan J. Bialy; Miriam E. Dennis; Matthew Hale 001 (CCTA, 2024)

A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization. - Ellie Pond; April Sebok; Zachary I. Bell; Matthew Hale 001 (CDC, 2024)

Pose Graph Optimization over Planar Unit Dual Quaternions: Improved Accuracy with Provably Convergent Riemannian Optimization. - William D. Warke; J. Humberto Ramos; Prashant Ganesh; Kevin M. Brink; Matthew T. Hale (IROS, 2024)

Defining and Measuring Deception in Sequential Decision Systems: Application to Network Defense. - Yerin Kim; Alexander Benvenuti; Bo Chen; Mustafa O. Karabag; Abhishek Ninad Kulkarni; Nathaniel D. Bastian; Ufuk Topcu; Matthew Hale 001 (MILCOM, 2024)

Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization. - Ellie Pond; April Sebok; Zachary I. Bell; Matthew Hale 001 (CoRR, 2024)

A Dissipativity Approach to Analyzing Composite Spreading Networks. - Baike She; Matthew Hale 001 (CoRR, 2024)

Guaranteed Feasibility in Differentially Private Linearly Constrained Convex Optimization. - Alexander Benvenuti; Brendan J. Bialy; Miriam E. Dennis; Matthew Hale 001 (IEEE Control. Syst. Lett., 2024)

Modeling Epidemic Spread: A Gaussian Process Regression Approach. - Baike She; Lei Xin; Philip E. Paré; Matthew Hale 001 (IEEE Control. Syst. Lett., 2024)

The Bounded Gaussian Mechanism for Differential Privacy. - Bo Chen; Matthew T. Hale (J. Priv. Confidentiality, 2024)

Node and Edge Differential Privacy for Graph Laplacian Spectra: Mechanisms and Scaling Laws. - Calvin Hawkins; Bo Chen; Kasra Yazdani; Matthew Hale 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Time-Constrained Model Predictive Control for Autonomous Satellite Rendezvous, Proximity Operations, and Docking. - Gabriel Behrendt; Matthew Hale 001; Alexander A. Soderlund; Sean Phillips; Evan Kain (CoRR, 2025)

Deceptive Sequential Decision-Making via Regularized Policy Optimization. - Yerin Kim; Alexander Benvenuti; Bo Chen; Mustafa O. Karabag; Abhishek Ninad Kulkarni; Nathaniel D. Bastian; Ufuk Topcu; Matthew Hale 001 (CoRR, 2025)

Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy. - Bo Chen; Baike She; Calvin Hawkins; Philip E. Paré; Matthew T. Hale (CoRR, 2025)

Verification and Synthesis Methods for High-Order Control Barrier Functions. - Ellie Pond; Matthew Hale 001 (CoRR, 2025)

A Hybrid Systems Model of Feedback Optimization for Linear Systems. - Oscar Jed Chuy; Matthew Hale 001; Ricardo G. Sanfelice (CoRR, 2025)

Distributed Multi-agent Coordination over Cellular Sheaves. - Tyler Hanks; Hans Riess; Samuel Cohen; Trevor Gross; Matthew Hale 001; James P. Fairbanks (CoRR, 2025)

Distributed Asynchronous Discrete-Time Feedback Optimization. - Gabriel Behrendt; Matthew Longmire; Zachary I. Bell; Matthew Hale 001 (IEEE Trans. Autom. Control., 2025)