Publications
2025
- Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design [code]
M. Kühne, P.D. Grontas, G. De Pasquale, G. Belgioioso, F. Dörfler, J. Lygeros
ICML 2025
- Contractivity and Linear Convergence in Bilinear Saddle-Point Problems: An Operator-Theoretic Approach
C. Dirren, M. Bianchi, P.D. Grontas, J. Lygeros, F. Dörfler
AISTATS 2025
2024
- BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent [code]
P. D. Grontas, G. Belgioioso, C. Cenedese, M. Fochesato, J. Lygeros and F. Dörfler
IEEE TAC 2024
- Operator Splitting for Convex Constrained Markov Decision Processes
P. D. Grontas, A. Tsiamis, J. Lygeros
arXiv 2024
- Optimal Dynamic Pricing in Energy Markets: A Stackelberg Game Approach
P. D. Grontas, C. Cenedese, M. Fochesato, G. Belgioioso, F. Dörfler, J. Lygeros
SysDO 2024
2020 - 2023
- Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype
P. D. Grontas, C. Cenedese, M. Fochesato, G. Belgioioso, F. Dörfler, J. Lygeros
IEEE CDC 2023
- Distributed and Constrained \( \mathcal{H}_2 \) Control Design via System Level Synthesis and Dual Consensus ADMM
P. D. Grontas, M.W. Fisher, F. Dörfler
IEEE CDC 2022
- Computationally Efficient Harmonic-Based Reactive Exploration
P. D. Grontas, P. Vlantis, C. P. Bechlioulis and K. J. Kyriakopoulos
IEEE RAL 2020