Mathias Staudigl
Orcid: 0000-0003-2481-0019
According to our database1,
Mathias Staudigl
authored at least 38 papers
between 2011 and 2025.
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Bibliography
2025
Math. Program., January, 2025
2024
Tikhonov Regularized Exterior Penalty Dynamics for Constrained Variational Inequalities.
IEEE Control. Syst. Lett., 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Games Econ. Behav., September, 2023
A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints.
Comput. Optim. Appl., June, 2023
Math. Program., March, 2023
A regularized variance-reduced modified extragradient method for stochastic hierarchical games.
CoRR, 2023
2022
IEEE Control. Syst. Lett., 2022
Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems.
CoRR, 2022
A conditional gradient homotopy method with applications to Semidefinite Programming.
CoRR, 2022
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces.
Comput. Optim. Appl., 2022
Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
A Privacy-preserving Decentralized Algorithm for Distribution Locational Marginal Prices.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
A privacy-preserving distributed computational approach for distributed locational marginal prices.
CoRR, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking.
Proceedings of the 18th European Control Conference, 2020
2019
SIAM J. Optim., 2019
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure.
CoRR, 2019
Forward-backward-forward methods with variance reduction for stochastic variational inequalities.
CoRR, 2019
2018
SIAM J. Optim., 2018
Math. Oper. Res., 2018
Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities.
J. Optim. Theory Appl., 2018
2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2014
2013
2012
Games Econ. Behav., 2012
2011