| Tutorial on dynamic average consensus: The problem, its applications, and the algorithms SS Kia, B Van Scoy, J Cortes, RA Freeman, KM Lynch, S Martinez IEEE Control Systems Magazine 39 (3), 40-72, 2019 | 389 | 2019 |
| The fastest known globally convergent first-order method for minimizing strongly convex functions B Van Scoy, RA Freeman, KM Lynch IEEE Control Systems Letters 2 (1), 49-54, 2017 | 187 | 2017 |
| A robust accelerated optimization algorithm for strongly convex functions S Cyrus, B Hu, B Van Scoy, L Lessard American Control Conference (ACC), 1376-1381, 2018 | 88 | 2018 |
| Lyapunov functions for first-order methods: Tight automated convergence guarantees A Taylor, B Van Scoy, L Lessard International Conference on Machine Learning (ICML) 80, 4897--4906, 2018 | 73 | 2018 |
| Analysis and design of first-order distributed optimization algorithms over time-varying graphs A Sundararajan, B Van Scoy, L Lessard arXiv:1907.05448, 2019 | 65 | 2019 |
| A canonical form for first-order distributed optimization algorithms A Sundararajan, B Van Scoy, L Lessard American Control Conference (ACC), 4075-4080, 2019 | 38 | 2019 |
| A fast robust nonlinear dynamic average consensus estimator in discrete time B Van Scoy, RA Freeman, KM Lynch IFAC Workshop on Distributed Estimation and Control in Networked Systems 48 …, 2015 | 20 | 2015 |
| Design of robust dynamic average consensus estimators B Van Scoy, RA Freeman, KM Lynch Conference on Decision and Control (CDC), 6269-6275, 2015 | 17 | 2015 |
| A distributed optimization algorithm over time-varying graphs with efficient gradient evaluations B Van Scoy, L Lessard arxiv.org:1905.11982, 2019 | 16* | 2019 |
| Feedforward estimators for the distributed average tracking of bandlimited signals in discrete time with switching graph topology B Van Scoy, RA Freeman, KM Lynch Conference on Decision and Control (CDC), 4284-4289, 2016 | 10 | 2016 |
| Optimal worst-case dynamic average consensus B Van Scoy, RA Freeman, KM Lynch American Control Conference (ACC), 5324-5329, 2015 | 9 | 2015 |
| The speed-robustness trade-off for first-order methods with additive gradient noise B Van Scoy, L Lessard arXiv preprint arXiv:2109.05059, 2021 | 8 | 2021 |
| A universal decomposition for distributed optimization algorithms B Van Scoy, L Lessard IEEE Control Systems Letters 6, 3044-3049, 2022 | 7 | 2022 |
| Exploiting memory in dynamic average consensus B Van Scoy, RA Freeman, KM Lynch Allerton Conference on Communication, Control, and Computing, 258-265, 2015 | 7 | 2015 |
| Asymptotic mean ergodicity of average consensus estimators B Van Scoy, RA Freeman, KM Lynch American Control Conference, 4696-4701, 2014 | 7 | 2014 |
| A tutorial on a Lyapunov-based approach to the analysis of iterative optimization algorithms B Van Scoy, L Lessard 2023 62nd IEEE Conference on Decision and Control (CDC), 3003-3008, 2023 | 4 | 2023 |
| Systematic analysis of distributed optimization algorithms over jointly-connected networks B Van Scoy, L Lessard 2020 59th IEEE Conference on Decision and Control (CDC), 3096-3101, 2020 | 4 | 2020 |
| Integral quadratic constraints: Exact convergence rates and worst-case trajectories B Van Scoy, L Lessard arXiv:1903.07668, 2019 | 4 | 2019 |
| Absolute stability via lifting and interpolation B Van Scoy, L Lessard 2022 IEEE 61st Conference on Decision and Control (CDC), 6217-6223, 2022 | 3 | 2022 |
| Automated Lyapunov Analysis of Primal-Dual Optimization Algorithms: An Interpolation Approach B Van Scoy, JW Simpson-Porco, L Lessard 2023 62nd IEEE Conference on Decision and Control (CDC), 1306-1311, 2023 | 2 | 2023 |
Laurent LessardAssociate Professor, Northeastern UniversityDirección de correo verificada de northeastern.edu
