Angelos Georghiou

According to our database, Angelos Georghiou authored at least 23 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Data-driven Prescriptiveness Optimization.

Mehran Poursoltani, Erick Delage, Angelos Georghiou

CoRR, 2023

2020

Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces.

Paul Nathaniel Beuchat, Angelos Georghiou, John Lygeros

IEEE Trans. Autom. Control., 2020

A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization.

Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann

Oper. Res., 2020

Distributionally Robust Parametric Maximum Likelihood Estimation.

Viet Anh Nguyen, Xuhui Zhang, José H. Blanchet, Angelos Georghiou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts.

Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros

IEEE Trans. Control. Syst. Technol., 2019

Low-Complexity Method for Hybrid MPC with Local Guarantees.

Damian Frick, Angelos Georghiou, Juan Luis Jerez, Alexander Domahidi, Manfred Morari

SIAM J. Control. Optim., 2019

Robust Dual Dynamic Programming.

Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann

Oper. Res., 2019

The decision rule approach to optimization under uncertainty: methodology and applications.

Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann

Comput. Manag. Sci., 2019

2018

Binary decision rules for multistage adaptive mixed-integer optimization.

Dimitris Bertsimas, Angelos Georghiou

Math. Program., 2018

Decentralized decision making for networks of uncertain systems.

Georgios Darivianakis, Angelos Georghiou, John Lygeros

CoRR, 2018

2017

Robust optimal control with adjustable uncertainty sets.

Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros

Autom., 2017

Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback.

Alexander Liniger, Xiaojing Zhang, Philipp Aeschbach, Angelos Georghiou, John Lygeros

Proceedings of the 2017 American Control Conference, 2017

2016

Approximate Dynamic Programming: a $\mathcal{Q}$-Function Approach.

Paul Beuchat, Angelos Georghiou, John Lygeros

CoRR, 2016

Alleviating tuning sensitivity in Approximate Dynamic Programming.

Paul Beuchat, Angelos Georghiou, John Lygeros

Proceedings of the 15th European Control Conference, 2016

2015

Generalized decision rule approximations for stochastic programming via liftings.

Angelos Georghiou, Wolfram Wiesemann, Daniel Kuhn

Math. Program., 2015

Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization.

Dimitris Bertsimas, Angelos Georghiou

Oper. Res., 2015

Robust Optimal Control with Adjustable Uncertainty Sets.

Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, John Lygeros

CoRR, 2015

Flow-maximizing equilibria of the Cell Transmission Model.

Marius Schmitt, Paul J. Goulart, Angelos Georghiou, John Lygeros

Proceedings of the 14th European Control Conference, 2015

Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization.

Xiaojing Zhang, Angelos Georghiou, John Lygeros

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A stochastic optimization approach to cooperative building energy management via an energy hub.

Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire.

Philipp Aeschbach, Xiaojing Zhang, Angelos Georghiou, John Lygeros

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2013

The decision rule approach to optimisation under uncertainty : theory and applications.

Angelos Georghiou

PhD thesis, 2013

2011

Primal and dual linear decision rules in stochastic and robust optimization.

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou

Math. Program., 2011