Paul Goulart - RankMe

47 papers A 2C 3Journal 25Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Implementation of Interior-Point Methods for a Class of Nonsymmetric Cones. J. Optim. Theory Appl. Yuwen Chen, Paul Goulart
2025	—	`conf`	Data-Driven Performance Guarantees for Parametric Optimization Problems. CDC Jingyi Huang, Paul Goulart, Kostas Margellos
2025	—	`conf`	Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions. ECC Jingyi Huang, Han Wang, Kostas Margellos, Paul Goulart
2025	J	`jnl`	Synthesis of safety certificates for discrete-time uncertain systems via convex optimization. CoRR Marta Fochesato, Han Wang, Antonis Papachristodoulou, Paul Goulart
2023	J	`jnl`	A Unified Early Termination Technique for Primal-Dual Algorithms in Mixed Integer Conic Programming. IEEE Control. Syst. Lett. Yuwen Chen, Catherine Ning, Paul Goulart
2023	J	`jnl`	Control of Cross-Directional Systems with Approximate Symmetries. CoRR Idris Kempf, Paul Goulart, Stephen Duncan
2023	A	`conf`	The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models. UAI Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart
2022	—	`conf`	An Early Termination Technique for ADMM in Mixed Integer Conic Programming. ECC Yuwen Chen, Paul Goulart
2022	J	`jnl`	Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems. CoRR Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart
2022	—	`conf`	Burer-Monteiro ADMM for Large-scale Diagonally Constrained SDPs. ECC Yuwen Chen, Paul Goulart
2022	J	`jnl`	Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing. IEEE Trans. Control. Syst. Technol. Denis Lebedev, Kostas Margellos, Paul Goulart
2022	J	`jnl`	Efficient Semidefinite Programming with Approximate ADMM. J. Optim. Theory Appl. Nikitas Rontsis, Paul Goulart, Yuji Nakatsukasa
2022	J	`jnl`	Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees. Autom. Denis Lebedev, Paul Goulart, Kostas Margellos
2022	—	`conf`	Safeguarded Anderson acceleration for parametric nonexpansive operators. ECC Michael Garstka, Mark Cannon, Paul Goulart
2021	J	`jnl`	A dynamic programming framework for optimal delivery time slot pricing. Eur. J. Oper. Res. Denis Lebedev, Paul Goulart, Kostas Margellos
2021	J	`jnl`	COSMO: A Conic Operator Splitting Method for Convex Conic Problems. J. Optim. Theory Appl. Michael Garstka, Mark Cannon, Paul Goulart
2021	—	`conf`	Learning ODE Models with Qualitative Structure Using Gaussian Processes. CDC Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart
2020	J	`jnl`	Chordal decomposition in operator-splitting methods for sparse semidefinite programs. Math. Program. Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn
2020	J	`jnl`	Fast Gradient Method for Model Predictive Control with Input Rate and Amplitude Constraints. CoRR Idris Kempf, Paul Goulart, Stephen Duncan
2020	J	`jnl`	Learning ODE Models with Qualitative Structure Using Gaussian Processes. CoRR Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum
2020	J	`jnl`	OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd
2020	A	`conf`	Optimal Approximation of Doubly Stochastic Matrices. AISTATS Nikitas Rontsis, Paul Goulart
2020	J	`jnl`	Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints. CoRR Shuhao Yan, Paul Goulart, Mark Cannon
2020	J	`jnl`	Stochastic output feedback MPC with intermittent observations. CoRR Shuhao Yan, Mark Cannon, Paul Goulart
2019	—	`conf`	A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery. ECC Denis Lebedev, Paul Goulart, Kostas Margellos
2019	—	`conf`	COSMO: A conic operator splitting method for large convex problems. ECC Michael Garstka, Mark Cannon, Paul Goulart
2019	C	`conf`	Decentralized Resource Allocation via Dual Consensus ADMM. ACC Goran Banjac, Felix Rey, Paul Goulart, John Lygeros
2019	J	`jnl`	Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. J. Optim. Theory Appl. Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd
2018	—	`conf`	Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver. ECC Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd
2018	—	`conf`	Stochastic Model Predictive Control with Discounted Probabilistic Constraints. ECC Shuhao Yan, Paul Goulart, Mark Cannon
2018	J	`jnl`	Stochastic Model Predictive Control with Discounted Probabilistic Constraints. CoRR Shuhao Yan, Paul Goulart, Mark Cannon
2017	—	`conf`	Embedded code generation using the OSQP solver. CDC Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd
2017	C	`conf`	Fast ADMM for semidefinite programs with chordal sparsity. ACC Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn
2017	J	`jnl`	Robust optimal control with adjustable uncertainty sets. Autom. Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros
2016	J	`jnl`	Robust Optimization of Schedules Affected by Uncertain Events. J. Optim. Theory Appl. Robin Vujanic, Paul Goulart, Manfred Morari
2015	J	`jnl`	On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros
2014	J	`jnl`	A scenario approach for non-convex control design. CoRR Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2014	C	`conf`	A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2014	—	`conf`	Large scale mixed-integer optimization: A solution method with supply chain applications. MED Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Manfred Morari
2014	J	`jnl`	On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems. IEEE Trans. Autom. Control. Kostas Margellos, Paul Goulart, John Lygeros
2014	J	`jnl`	Scalable Proactive Event-Driven Decision Making. IEEE Technol. Soc. Mag. Alexander Artikis, Chris Baber, Pedro Bizarro, Carlos Canudas-de-Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, Izchak Sharfman
2014	—	`conf`	Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros
2013	—	`conf`	Adaptive model predictive control for constrained linear systems. ECC Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari
2013	—	`conf`	Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2013	—	`conf`	The Linear Quadratic Regulator with chance constraints. ECC Georg Schildbach, Paul Goulart, Manfred Morari
2011	J	`jnl`	Global Stability Analysis of Fluid Flows using Sum-of-Squares CoRR Paul Goulart, Sergei I. Chernyshenko
2009	—	`conf`	Stability of model predictive control using Markov Chain Monte Carlo optimisation. ECC Elilini Siva, Paul Goulart, Jan M. Maciejowski, Nikolas Kantas