Primal and dual linear decision rules in stochastic and robust optimization. - Daniel Kuhn 001; Wolfram Wiesemann; Angelos Georghiou (Math. Program., 2011)

The decision rule approach to optimisation under uncertainty : theory and applications. - Angelos Georghiou (2013)

Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire. - Philipp Aeschbach; Xiaojing Zhang 001; Angelos Georghiou; John Lygeros (CDC, 2015)

A stochastic optimization approach to cooperative building energy management via an energy hub. - Georgios Darivianakis; Angelos Georghiou; Roy S. Smith; John Lygeros (CDC, 2015)

Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization. - Xiaojing Zhang 001; Angelos Georghiou; John Lygeros (CDC, 2015)

Flow-maximizing equilibria of the Cell Transmission Model. - Marius Schmitt; Paul J. Goulart; Angelos Georghiou; John Lygeros (ECC, 2015)

Robust Optimal Control with Adjustable Uncertainty Sets. - Xiaojing Zhang 001; Maryam Kamgarpour; Angelos Georghiou; John Lygeros (CoRR, 2015)

Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization. - Dimitris Bertsimas; Angelos Georghiou (Oper. Res., 2015)

Generalized decision rule approximations for stochastic programming via liftings. - Angelos Georghiou; Wolfram Wiesemann; Daniel Kuhn 001 (Math. Program., 2015)

Alleviating tuning sensitivity in Approximate Dynamic Programming. - Paul Beuchat; Angelos Georghiou; John Lygeros (ECC, 2016)

Approximate Dynamic Programming: a $ mathcal{Q}$-Function Approach. - Paul Beuchat; Angelos Georghiou; John Lygeros (CoRR, 2016)

Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback. - Alexander Liniger; Xiaojing Zhang 001; Philipp Aeschbach; Angelos Georghiou; John Lygeros (ACC, 2017)

Robust optimal control with adjustable uncertainty sets. - Xiaojing Zhang 001; Maryam Kamgarpour; Angelos Georghiou; Paul Goulart; John Lygeros (Autom., 2017)

Decentralized decision making for networks of uncertain systems. - Georgios Darivianakis; Angelos Georghiou; John Lygeros (CoRR, 2018)

Binary decision rules for multistage adaptive mixed-integer optimization. - Dimitris Bertsimas; Angelos Georghiou (Math. Program., 2018)

The decision rule approach to optimization under uncertainty: methodology and applications. - Angelos Georghiou; Daniel Kuhn 001; Wolfram Wiesemann (Comput. Manag. Sci., 2019)

Robust Dual Dynamic Programming. - Angelos Georghiou; Angelos Tsoukalas; Wolfram Wiesemann (Oper. Res., 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)

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)

Distributionally Robust Parametric Maximum Likelihood Estimation. - Viet Anh Nguyen; Xuhui Zhang; José H. Blanchet; Angelos Georghiou (NeurIPS, 2020)

A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization. - Angelos Georghiou; Angelos Tsoukalas; Wolfram Wiesemann (Oper. Res., 2020)

Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces. - Paul Nathaniel Beuchat; Angelos Georghiou; John Lygeros (IEEE Trans. Autom. Control., 2020)

Robust Data-driven Prescriptiveness Optimization. - Mehran Poursoltani; Erick Delage; Angelos Georghiou (ICML, 2024)

Data-driven decision-making under uncertainty with entropic risk measure. - Utsav Sadana; Erick Delage; Angelos Georghiou (CoRR, 2024)

Technical Note - Risk-Averse Regret Minimization in Multistage Stochastic Programs. - Mehran Poursoltani; Erick Delage; Angelos Georghiou (Oper. Res., 2024)