Mathias Staudigl

56 papers A* 2B 1Misc 1Journal 44Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Stochastic Gradient Descent Approach to Design Policy Gradient Methods for LQR. CoRR Bowen Song, Simon Weissmann, Mathias Staudigl, Andrea Iannelli
2026	J	`jnl`	Derivative-free stochastic bilevel optimization for inverse problems. Comput. Optim. Appl. Mathias Staudigl, Simon Weissmann, Tristan van Leeuwen
2026	J	`jnl`	Stochastic variance reduced extragradient methods for solving hierarchical variational inequalities. CoRR Pavel E. Dvurechensky, Andrea Ebner, Johannes Carl Schnebel, Shimrit Shtern, Mathias Staudigl
2025	—	`conf`	A Gauss-Seidel method for solving multi-leader-multi-follower games. ECC Barbara Franci, Filippo Fabiani, Martin Schmidt, Mathias Staudigl
2025	J	`jnl`	A Regularized Variance-Reduced Modified Extragradient Method for Stochastic Hierarchical Games. J. Optim. Theory Appl. Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl
2025	B	`conf`	An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems. ALT Sarah Sachs, Hédi Hadiji, Tim van Erven, Mathias Staudigl
2025	J	`jnl`	Extragradient methods with complexity guarantees for hierarchical variational inequalities. CoRR Pavel E. Dvurechensky, Meggie Marschner, Shimrit Shtern, Mathias Staudigl
2025	J	`jnl`	Hessian barrier algorithms for non-convex conic optimization. Math. Program. Pavel E. Dvurechensky, Mathias Staudigl
2025	—	`conf`	Tikhonov regularized exterior penalty methods for hierarchical variational inequalities. CDC Meggie Marschner, Mathias Staudigl
2024	J	`jnl`	An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems. CoRR Sarah Sachs, Hédi Hadiji, Tim van Erven, Mathias Staudigl
2024	A*	`conf`	Barrier Algorithms for Constrained Non-Convex Optimization. ICML Pavel E. Dvurechensky, Mathias Staudigl
2024	J	`jnl`	Tikhonov Regularized Exterior Penalty Dynamics for Constrained Variational Inequalities. IEEE Control. Syst. Lett. Mathias Staudigl, Siqi Qu
2023	J	`jnl`	A regularized variance-reduced modified extragradient method for stochastic hierarchical games. CoRR Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl
2023	J	`jnl`	A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. Comput. Optim. Appl. Drew P. Kouri, Mathias Staudigl, Thomas M. Surowiec
2023	J	`jnl`	Generalized self-concordant analysis of Frank-Wolfe algorithms. Math. Program. Pavel E. Dvurechensky, Kamil Safin, Shimrit Shtern, Mathias Staudigl
2023	J	`jnl`	Incentive compatibility in sender-receiver stopping games. Games Econ. Behav. Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen
2023	J	`jnl`	Multiagent Online Learning in Time-Varying Games. Math. Oper. Res. Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
2022	—	`conf`	A Privacy-preserving Decentralized Algorithm for Distribution Locational Marginal Prices. CDC Olivier Bilenne, Barbara Franci, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan
2022	Misc	`conf`	A competitive search game with a moving object. ISAIM János Flesch, Benoit Duvocelle, Hui Min Shi, Mathias Staudigl, Dries Vermeulen
2022	J	`jnl`	A competitive search game with a moving target. Eur. J. Oper. Res. Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen
2022	J	`jnl`	A conditional gradient homotopy method with applications to Semidefinite Programming. CoRR Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl
2022	J	`jnl`	Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems. CoRR Mathias Staudigl, Paulin Jacquot
2022	J	`jnl`	Mini-Batch Stochastic Three-Operator Splitting for Distributed Optimization. IEEE Control. Syst. Lett. Barbara Franci, Mathias Staudigl
2022	J	`jnl`	Mini-batch stochastic three-operator splitting for distributed optimization. CoRR Barbara Franci, Mathias Staudigl
2022	—	`conf`	Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CDC Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl
2022	J	`jnl`	Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CoRR Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl
2022	J	`jnl`	Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces. Comput. Optim. Appl. Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl, Phan Tu Vuong
2021	J	`jnl`	A privacy-preserving distributed computational approach for distributed locational marginal prices. CoRR Olivier Bilenne, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan
2021	J	`jnl`	A relaxed-inertial forward-backward-forward algorithm for Stochastic Generalized Nash equilibrium seeking. CoRR Shisheng Cui, Barbara Franci, Sergio Grammatico, Uday V. Shanbhag, Mathias Staudigl
2021	—	`conf`	A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking. CDC Shisheng Cui, Barbara Franci, Sergio Grammatico, Uday V. Shanbhag, Mathias Staudigl
2021	—	`conf`	Equilibrium Tracking and Convergence in Dynamic Games. CDC Panayotis Mertikopoulos, Mathias Staudigl
2021	J	`jnl`	First-Order Methods for Convex Optimization. CoRR Pavel E. Dvurechensky, Mathias Staudigl, Shimrit Shtern
2021	J	`jnl`	First-Order Methods for Convex Optimization. EURO J. Comput. Optim. Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl
2020	J	`jnl`	A competitive search game with a moving target. CoRR Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen
2020	J	`jnl`	Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters. CoRR Duong Viet Thong, Aviv Gibali, Mathias Staudigl, Phan Tu Vuong
2020	—	`conf`	Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. ECC Barbara Franci, Mathias Staudigl, Sergio Grammatico
2020	J	`jnl`	Incentive compatibility in sender-receiver stopping games. CoRR Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen
2020	A*	`conf`	Self-Concordant Analysis of Frank-Wolfe Algorithms. ICML Pavel E. Dvurechensky, Petr Ostroukhov, Kamil Safin, Shimrit Shtern, Mathias Staudigl
2020	J	`jnl`	Self-concordant analysis of Frank-Wolfe algorithms. CoRR Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl, Petr Ostroukhov, Kamil Safin
2019	J	`jnl`	Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. CoRR Barbara Franci, Sergio Grammatico, Mathias Staudigl
2019	J	`jnl`	Forward-backward-forward methods with variance reduction for stochastic variational inequalities. CoRR Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong
2019	J	`jnl`	Generalized Self-concordant Hessian-barrier algorithms. CoRR Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe
2019	J	`jnl`	Hessian Barrier Algorithms for Linearly Constrained Optimization Problems. SIAM J. Optim. Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl
2019	J	`jnl`	Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure. CoRR Radu Ioan Bot, Sorin-Mihai Grad, Dennis Meier, Mathias Staudigl
2018	J	`jnl`	Hessian barrier algorithms for linearly constrained optimization problems. CoRR Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl
2018	J	`jnl`	Learning in time-varying games. CoRR Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen
2018	J	`jnl`	On the Convergence of Gradient-Like Flows with Noisy Gradient Input. SIAM J. Optim. Panayotis Mertikopoulos, Mathias Staudigl
2018	J	`jnl`	Sample Path Large Deviations for Stochastic Evolutionary Game Dynamics. Math. Oper. Res. William H. Sandholm, Mathias Staudigl
2018	J	`jnl`	Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. J. Optim. Theory Appl. Panayotis Mertikopoulos, Mathias Staudigl
2017	—	`conf`	Convergence to nash equilibrium in continuous games with noisy first-order feedback. CDC Panayotis Mertikopoulos, Mathias Staudigl
2016	J	`jnl`	On the convergence of gradient-like flows with noisy gradient input. CoRR Panayotis Mertikopoulos, Mathias Staudigl
2014	J	`jnl`	Constrained interactions and social coordination. J. Econ. Theory Mathias Staudigl, Simon Weidenholzer
2014	J	`jnl`	Evolution of social networks. Eur. J. Oper. Res. Tim Hellmann, Mathias Staudigl
2013	J	`jnl`	Co-evolutionary dynamics and Bayesian interaction games. Int. J. Game Theory Mathias Staudigl
2012	J	`jnl`	Stochastic stability in asymmetric binary choice coordination games. Games Econ. Behav. Mathias Staudigl
2011	J	`jnl`	Potential games in volatile environments. Games Econ. Behav. Mathias Staudigl