A Gauss-Seidel method for solving multi-leader-multi-follower games. IEEE European Control Conferece 2025 (ECC25), Thessaloniki, Greece (June 2025)
Generalized Nash equilibrium problems under partial-decision information with biased agents. IEEE Conference on Decision and Control 2024 (CDC24), Milano, Italy (December 2024)
Sharing beliefs to learn Nash equilibria. IEEE European Control Conferece 2024 (ECC24), Stockholm, Sweden (June 2024)
Stochastic Nash Equilibrium seeking and Learning. Second Workshop on AI and Mathematics, University of Twente, Enschede, The Netherlands (June 2023)
Mini-batch stochastic three-operator splitting for distributed optimization. SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, The Netherlands (February-March 2023).
A stochastic generalized Nash equilibrium model for platforms competition in the ride-hail market. IEEE Conference on Decision and Control 2022 (CDC22), Cancun, Mexico (December 2022).
Mini-batch stochastic three-operator splitting for distributed optimization. IEEE Conference on Decision and Control 2022 (CDC22), Cancun, Mexico (December 2022).
A privacy-preserving distributed computational approach for distributed locational marginal prices. IEEE Conference on Decision and Control 2022 (CDC22), Cancun, Mexico (December 2022).
Training Generative Adversarial Networks via stochastic Nash games, ICT.Open2022, Amsterdam, The Netherlands, (April 2022)
Stochastic generalized Nash equilibrium seeking and Variational Inequalities, EurOpt2021, 18th Workshop on Advances in Continous Optimization, Toulouse, France (July 2021)
Distributed projected-reflected-gradient algorithms for stochastic generalized Nash equilibrium problems, European Control Conference (ECC21), Rotterdam, The Netherlands (July 2021)
A game-theoretic approach for Generative Adversarial Networks, Conference on Decision and Control (CDC20), Jeju Island, Republic of Korea, (December 2020)
A damped forward-backward algorithm for stochastic generalized Nash equilibrium seeking, European Control Conference (ECC20), St. Petersburg, Russia (May 2020)
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking, European Control Conference (ECC20), St. Petersburg, Russia (May 2020)
Stochastic Nash Equilibrium Problems, Workshop ”Resilient Control of Infrastructure Networks”, Politecnico di Torino, Torino, Italy (September 2019)
A game theoretic approach to a peer-to-peer cloud storage model, MTNS16 - 22nd International Symposium on Mathematical Theory of Networks and Systems, Minneapolis, MN (July 2016)
Il Caso BeekUp, WorkShop on Game Theory, Joint Open Lab SWARM - Politecnico di Torino, Torino, Italy (February 2016)
Uncertainty and Games. Politecnico di Torino, Department of Mathematical Sciences, Torino, Italy (March 2025)
Uncertainty and Games. Politecnico di Torino, Department of Electronics and Telecomunications, Torino, Italy (January 2025)
Uncertainty and Games, Scuola IMT Alti Studi Lucca, Lucca, Italy (July 2024)
Distributionally robust equilibrium for continuous games: Nash and Stackelberg models by Yongchao Liu, Huifu Xu, Shu-Jung Sunny Yang, Jin Zhang, EJOR, 2018, Learning and Optimization reading group, DCSC - Delft Center for Systems and Control, TU Delft, Delft, The Netherlands (October 2021)
Stochastic approximation for CVaR-based variational inequalites by Jasper Verbree and Ashish Cherukuri, CDC2020, Learning and Optimization reading group, DCSC - Delft Center for Systems and Control, TU Delft, Delft, The Netherlands (February 2021)
Stochastic Nash Equilibrium Problems, Seminar Series in Probability and Statistics, DIAM - Delft Institute of Applied Mathematics, TU Delft, Delft, The Netherlands (October 2019)
Stochastic Nash Equilibrium Problems, Lunch Colloquium, DCSC - Delft Center for Systems and Control, TU Delft, Delft, The Netherlands (October 2019)
From Algebraic Geometry to Network Storage, UCSB - University of California Santa Barbara, Santa Barbara, CA (September 2016)