Mathias Staudigl

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Optimisation Problems

Semidefinite Programming

Variational Inequalities

Top Venues

IEEE Control. Syst. Lett.

Publications

Mathias Staudigl, Siqi Qu
Tikhonov Regularized Exterior Penalty Dynamics for Constrained Variational Inequalities. IEEE Control. Syst. Lett. 8 (2024)
Pavel E. Dvurechensky, Kamil Safin, Shimrit Shtern, Mathias Staudigl
Generalized self-concordant analysis of Frank-Wolfe algorithms. Math. Program. 198 (1) (2023)
Drew P. Kouri, Mathias Staudigl, Thomas M. Surowiec
A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. Comput. Optim. Appl. 85 (2) (2023)
Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen
Incentive compatibility in sender-receiver stopping games. Games Econ. Behav. 141 (2023)
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
Multiagent Online Learning in Time-Varying Games. Math. Oper. Res. 48 (2) (2023)
Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl
A regularized variance-reduced modified extragradient method for stochastic hierarchical games. CoRR (2023)
Barbara Franci, Mathias Staudigl
Mini-Batch Stochastic Three-Operator Splitting for Distributed Optimization. IEEE Control. Syst. Lett. 6 (2022)
Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CDC (2022)
Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen
A competitive search game with a moving target. Eur. J. Oper. Res. 303 (2) (2022)
János Flesch, Benoit Duvocelle, Hui Min Shi, Mathias Staudigl, Dries Vermeulen
A competitive search game with a moving object. ISAIM (2022)
Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CoRR (2022)
Olivier Bilenne, Barbara Franci, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan
A Privacy-preserving Decentralized Algorithm for Distribution Locational Marginal Prices. CDC (2022)
Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl
A conditional gradient homotopy method with applications to Semidefinite Programming. CoRR (2022)
Barbara Franci, Mathias Staudigl
Mini-batch stochastic three-operator splitting for distributed optimization. CoRR (2022)
Mathias Staudigl, Paulin Jacquot
Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems. CoRR (2022)
Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl, Phan Tu Vuong
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces. Comput. Optim. Appl. 83 (2) (2022)
Shisheng Cui, Barbara Franci, Sergio Grammatico, Uday V. Shanbhag, Mathias Staudigl
A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking. CDC (2021)
Olivier Bilenne, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan
A privacy-preserving distributed computational approach for distributed locational marginal prices. CoRR (2021)
Pavel E. Dvurechensky, Mathias Staudigl, Shimrit Shtern
First-Order Methods for Convex Optimization. CoRR (2021)
Shisheng Cui, Barbara Franci, Sergio Grammatico, Uday V. Shanbhag, Mathias Staudigl
A relaxed-inertial forward-backward-forward algorithm for Stochastic Generalized Nash equilibrium seeking. CoRR (2021)
Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl
First-Order Methods for Convex Optimization. EURO J. Comput. Optim. 9 (2021)
Panayotis Mertikopoulos, Mathias Staudigl
Equilibrium Tracking and Convergence in Dynamic Games. CDC (2021)
Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen
A competitive search game with a moving target. CoRR (2020)
Barbara Franci, Mathias Staudigl, Sergio Grammatico
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. ECC (2020)
Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl, Petr Ostroukhov, Kamil Safin
Self-concordant analysis of Frank-Wolfe algorithms. CoRR (2020)
Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen
Incentive compatibility in sender-receiver stopping games. CoRR (2020)
Pavel E. Dvurechensky, Petr Ostroukhov, Kamil Safin, Shimrit Shtern, Mathias Staudigl
Self-Concordant Analysis of Frank-Wolfe Algorithms. ICML (2020)
Duong Viet Thong, Aviv Gibali, Mathias Staudigl, Phan Tu Vuong
Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters. CoRR (2020)
Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl
Hessian Barrier Algorithms for Linearly Constrained Optimization Problems. SIAM J. Optim. 29 (3) (2019)
Radu Ioan Bot, Sorin-Mihai Grad, Dennis Meier, Mathias Staudigl
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure. CoRR (2019)
Barbara Franci, Sergio Grammatico, Mathias Staudigl
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. CoRR (2019)
Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong
Forward-backward-forward methods with variance reduction for stochastic variational inequalities. CoRR (2019)
Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe
Generalized Self-concordant Hessian-barrier algorithms. CoRR (2019)
Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl
Hessian barrier algorithms for linearly constrained optimization problems. CoRR (2018)
Panayotis Mertikopoulos, Mathias Staudigl
Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. J. Optim. Theory Appl. 179 (3) (2018)
Panayotis Mertikopoulos, Mathias Staudigl
On the Convergence of Gradient-Like Flows with Noisy Gradient Input. SIAM J. Optim. 28 (1) (2018)
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
Learning in time-varying games. CoRR (2018)
William H. Sandholm, Mathias Staudigl
Sample Path Large Deviations for Stochastic Evolutionary Game Dynamics. Math. Oper. Res. 43 (4) (2018)
Panayotis Mertikopoulos, Mathias Staudigl
Convergence to nash equilibrium in continuous games with noisy first-order feedback. CDC (2017)
Panayotis Mertikopoulos, Mathias Staudigl
On the convergence of gradient-like flows with noisy gradient input. CoRR (2016)
Mathias Staudigl, Simon Weidenholzer
Constrained interactions and social coordination. J. Econ. Theory 152 (2014)
Tim Hellmann, Mathias Staudigl
Evolution of social networks. Eur. J. Oper. Res. 234 (3) (2014)
Mathias Staudigl
Co-evolutionary dynamics and Bayesian interaction games. Int. J. Game Theory 42 (1) (2013)
Mathias Staudigl
Stochastic stability in asymmetric binary choice coordination games. Games Econ. Behav. 75 (1) (2012)
Mathias Staudigl
Potential games in volatile environments. Games Econ. Behav. 72 (1) (2011)