Mathias Staudigl
Welcome to my homepage!
I am Associate Professor for Multi-Agent Optimization at the Department of Advanced Computing Sciences (DACS) at Maastricht University. Before joining DKE, I was tenured Assistant Professor and later Associate Professor for Operations Research and Game Theory at the School of Business and Economics, Maastricht University.
My research interests lie at the interface of mathematical programming and equilibrium theory, with a special view towards their applications to networked systems, game theory, optimal control and machine learning.
I am leading the Games & AI group at DACS.
NEWS
New Preprint: Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems (joined with P. Jacquot).
It is a great pleasure to be one of the Guest Speakers at the East Coast Optimization Meeting, at the Center for Mathematics and Artificial Intelligence at George-Mason University! I am really looking forward to this nice event!
Glad to be part of the Machine Learning Theory Boot Camp at CWI, where I will be giving a tutorial on Learning in Games.
New paper accepted: Incentive compatibility in sender-receiver stopping games has been accepted at Games & Economic Behavior!
Happy to be one of the invited speakers at the Dutch Day of Optimization and the CWI Workshop on Polynomial Optimization and Applications in Control and Energy, 17-18 November 2022.!
3 papers accepted at the 61st IEEE Conference on Decision & Control!
New Paper: Our paper Mini-batch stochastic three-operator splitting for distributed optimization has been accepted for publication at the IEEE Control & Systems Letters!
New Paper: Our paper Stochastic Relaxed Inertial Forward-Backward-Forward splitting for Monotone Inclusions in Hilbert spaces is accepted at Computational Optimization and Applications!