Mathias Staudigl

According to our database, Mathias Staudigl authored at least 34 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Incentive compatibility in sender-receiver stopping games.

Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen

Games Econ. Behav., September, 2023

A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints.

Drew P. Kouri, Mathias Staudigl, Thomas M. Surowiec

Comput. Optim. Appl., June, 2023

Multiagent Online Learning in Time-Varying Games.

Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen

Math. Oper. Res., May, 2023

Generalized self-concordant analysis of Frank-Wolfe algorithms.

Pavel E. Dvurechensky, Kamil Safin, Shimrit Shtern, Mathias Staudigl

Math. Program., March, 2023

A regularized variance-reduced modified extragradient method for stochastic hierarchical games.

Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl

CoRR, 2023

2022

A competitive search game with a moving target.

Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen

Eur. J. Oper. Res., 2022

Mini-Batch Stochastic Three-Operator Splitting for Distributed Optimization.

Barbara Franci, Mathias Staudigl

IEEE Control. Syst. Lett., 2022

Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems.

Mathias Staudigl, Paulin Jacquot

CoRR, 2022

A conditional gradient homotopy method with applications to Semidefinite Programming.

Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl

CoRR, 2022

Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces.

Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl, Phan Tu Vuong

Comput. Optim. Appl., 2022

A competitive search game with a moving object.

János Flesch, Benoit Duvocelle, Hui Min Shi, Mathias Staudigl, Dries Vermeulen

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.

Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A Privacy-preserving Decentralized Algorithm for Distribution Locational Marginal Prices.

Olivier Bilenne, Barbara Franci, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

First-Order Methods for Convex Optimization.

Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl

EURO J. Comput. Optim., 2021

A privacy-preserving distributed computational approach for distributed locational marginal prices.

Olivier Bilenne, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan

CoRR, 2021

Equilibrium Tracking and Convergence in Dynamic Games.

Panayotis Mertikopoulos, Mathias Staudigl

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.

Shisheng Cui, Barbara Franci, Sergio Grammatico, Uday V. Shanbhag, Mathias Staudigl

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.

Duong Viet Thong, Aviv Gibali, Mathias Staudigl, Phan Tu Vuong

CoRR, 2020

Self-Concordant Analysis of Frank-Wolfe Algorithms.

Pavel E. Dvurechensky, Petr Ostroukhov, Kamil Safin, Shimrit Shtern, Mathias Staudigl

Proceedings of the 37th International Conference on Machine Learning, 2020

Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking.

Barbara Franci, Mathias Staudigl, Sergio Grammatico

Proceedings of the 18th European Control Conference, 2020

2019

Hessian Barrier Algorithms for Linearly Constrained Optimization Problems.

Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl

SIAM J. Optim., 2019

Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure.

Radu Ioan Bot, Sorin-Mihai Grad, Dennis Meier, Mathias Staudigl

CoRR, 2019

Generalized Self-concordant Hessian-barrier algorithms.

Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe

CoRR, 2019

Forward-backward-forward methods with variance reduction for stochastic variational inequalities.

Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong

CoRR, 2019

2018

On the Convergence of Gradient-Like Flows with Noisy Gradient Input.

Panayotis Mertikopoulos, Mathias Staudigl

SIAM J. Optim., 2018

Sample Path Large Deviations for Stochastic Evolutionary Game Dynamics.

William H. Sandholm, Mathias Staudigl

Math. Oper. Res., 2018

Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities.

Panayotis Mertikopoulos, Mathias Staudigl

J. Optim. Theory Appl., 2018

Learning in time-varying games.

Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen

CoRR, 2018

2017

Convergence to nash equilibrium in continuous games with noisy first-order feedback.

Panayotis Mertikopoulos, Mathias Staudigl

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2014

Constrained interactions and social coordination.

Mathias Staudigl, Simon Weidenholzer

J. Econ. Theory, 2014

Evolution of social networks.

Tim Hellmann, Mathias Staudigl

Eur. J. Oper. Res., 2014

2013

Co-evolutionary dynamics and Bayesian interaction games.

Mathias Staudigl

Int. J. Game Theory, 2013

2012

Stochastic stability in asymmetric binary choice coordination games.

Mathias Staudigl

Games Econ. Behav., 2012

2011

Potential games in volatile environments.

Mathias Staudigl

Games Econ. Behav., 2011