Paul Goulart

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 32

Top Topics

Gaussian Process

Robust Optimization

Chance Constrained

Top Venues

J. Optim. Theory Appl.

Publications

Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models. UAI (2023)
Idris Kempf, Paul Goulart, Stephen Duncan
Control of Cross-Directional Systems with Approximate Symmetries. CoRR (2023)
Yuwen Chen, Catherine Ning, Paul Goulart
A Unified Early Termination Technique for Primal-Dual Algorithms in Mixed Integer Conic Programming. IEEE Control. Syst. Lett. 7 (2023)
Nikitas Rontsis, Paul Goulart, Yuji Nakatsukasa
Efficient Semidefinite Programming with Approximate ADMM. J. Optim. Theory Appl. 192 (1) (2022)
Denis Lebedev, Kostas Margellos, Paul Goulart
Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing. IEEE Trans. Control. Syst. Technol. 30 (2) (2022)
Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart
Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems. CoRR (2022)
Yuwen Chen, Paul Goulart
An Early Termination Technique for ADMM in Mixed Integer Conic Programming. ECC (2022)
Yuwen Chen, Paul Goulart
Burer-Monteiro ADMM for Large-scale Diagonally Constrained SDPs. ECC (2022)
Michael Garstka, Mark Cannon, Paul Goulart
Safeguarded Anderson acceleration for parametric nonexpansive operators. ECC (2022)
Denis Lebedev, Paul Goulart, Kostas Margellos
Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees. Autom. 135 (2022)
Denis Lebedev, Paul Goulart, Kostas Margellos
A dynamic programming framework for optimal delivery time slot pricing. Eur. J. Oper. Res. 292 (2) (2021)
Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart
Learning ODE Models with Qualitative Structure Using Gaussian Processes. CDC (2021)
Michael Garstka, Mark Cannon, Paul Goulart
COSMO: A Conic Operator Splitting Method for Convex Conic Problems. J. Optim. Theory Appl. 190 (3) (2021)
Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn
Chordal decomposition in operator-splitting methods for sparse semidefinite programs. Math. Program. 180 (1) (2020)
Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum
Learning ODE Models with Qualitative Structure Using Gaussian Processes. CoRR (2020)
Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd
OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. 12 (4) (2020)
Nikitas Rontsis, Paul Goulart
Optimal Approximation of Doubly Stochastic Matrices. AISTATS (2020)
Shuhao Yan, Mark Cannon, Paul Goulart
Stochastic output feedback MPC with intermittent observations. CoRR (2020)
Idris Kempf, Paul Goulart, Stephen Duncan
Fast Gradient Method for Model Predictive Control with Input Rate and Amplitude Constraints. CoRR (2020)
Shuhao Yan, Paul Goulart, Mark Cannon
Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints. CoRR (2020)
Michael Garstka, Mark Cannon, Paul Goulart
COSMO: A conic operator splitting method for large convex problems. ECC (2019)
Goran Banjac, Felix Rey, Paul Goulart, John Lygeros
Decentralized Resource Allocation via Dual Consensus ADMM. ACC (2019)
Denis Lebedev, Paul Goulart, Kostas Margellos
A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery. ECC (2019)
Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. J. Optim. Theory Appl. 183 (2) (2019)
Shuhao Yan, Paul Goulart, Mark Cannon
Stochastic Model Predictive Control with Discounted Probabilistic Constraints. CoRR (2018)
Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd
Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver. ECC (2018)
Shuhao Yan, Paul Goulart, Mark Cannon
Stochastic Model Predictive Control with Discounted Probabilistic Constraints. ECC (2018)
Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros
Robust optimal control with adjustable uncertainty sets. Autom. 75 (2017)
Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou, Paul Goulart, Andrew Wynn
Fast ADMM for semidefinite programs with chordal sparsity. ACC (2017)
Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd
Embedded code generation using the OSQP solver. CDC (2017)
Robin Vujanic, Paul Goulart, Manfred Morari
Robust Optimization of Schedules Affected by Uncertain Events. J. Optim. Theory Appl. 171 (3) (2016)
Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros
On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR (2015)
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC (2014)
Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart, Manfred Morari
Large scale mixed-integer optimization: A solution method with supply chain applications. MED (2014)
Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros
Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC (2014)
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
Scalable Proactive Event-Driven Decision Making. IEEE Technol. Soc. Mag. 33 (3) (2014)
Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
A scenario approach for non-convex control design. CoRR (2014)
Kostas Margellos, Paul Goulart, John Lygeros
On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems. IEEE Trans. Autom. Control. 59 (8) (2014)
Georg Schildbach, Paul Goulart, Manfred Morari
The Linear Quadratic Regulator with chance constraints. ECC (2013)
Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC (2013)
Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari
Adaptive model predictive control for constrained linear systems. ECC (2013)
Paul Goulart, Sergei I. Chernyshenko
Global Stability Analysis of Fluid Flows using Sum-of-Squares CoRR (2011)
Elilini Siva, Paul Goulart, Jan M. Maciejowski, Nikolas Kantas
Stability of model predictive control using Markov Chain Monte Carlo optimisation. ECC (2009)