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ORCIDMathias Staudigl
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2020 – today
- 2024
[j18]Mathias Staudigl
, Siqi Qu:
Tikhonov Regularized Exterior Penalty Dynamics for Constrained Variational Inequalities. IEEE Control. Syst. Lett. 8: 622-627 (2024)- [c9]Pavel E. Dvurechensky, Mathias Staudigl:
Barrier Algorithms for Constrained Non-Convex Optimization. ICML 2024 - [i20]Sarah Sachs, Hédi Hadiji, Tim van Erven, Mathias Staudigl:
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems. CoRR abs/2410.02400 (2024) - 2023
- [j17]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): 441-478 (2023) - [j16]Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen:
Incentive compatibility in sender-receiver stopping games. Games Econ. Behav. 141: 303-320 (2023) - [j15]Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen:
Multiagent Online Learning in Time-Varying Games. Math. Oper. Res. 48(2): 914-941 (2023) - [j14]Pavel E. Dvurechensky, Kamil Safin, Shimrit Shtern, Mathias Staudigl:
Generalized self-concordant analysis of Frank-Wolfe algorithms. Math. Program. 198(1): 255-323 (2023) - [i19]Shisheng Cui, Uday V. Shanbhag, Mathias Staudigl:
A regularized variance-reduced modified extragradient method for stochastic hierarchical games. CoRR abs/2302.06497 (2023) - 2022
- [j13]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): 465-524 (2022) - [j12]Barbara Franci, Mathias Staudigl:
Mini-Batch Stochastic Three-Operator Splitting for Distributed Optimization. IEEE Control. Syst. Lett. 6: 2882-2887 (2022) - [j11]Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen:
A competitive search game with a moving target. Eur. J. Oper. Res. 303(2): 945-957 (2022) - [c8]Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl:
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CDC 2022: 4137-4142 - [c7]Olivier Bilenne, Barbara Franci, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan:
A Privacy-preserving Decentralized Algorithm for Distribution Locational Marginal Prices. CDC 2022: 4143-4148 - [c6]János Flesch, Benoit Duvocelle, Hui Min Shi, Mathias Staudigl, Dries Vermeulen:
A competitive search game with a moving object. ISAIM 2022 - [i18]Barbara Franci, Mathias Staudigl:
Mini-batch stochastic three-operator splitting for distributed optimization. CoRR abs/2203.04020 (2022) - [i17]Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl:
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CoRR abs/2203.15410 (2022) - [i16]Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl:
A conditional gradient homotopy method with applications to Semidefinite Programming. CoRR abs/2207.03101 (2022) - [i15]Mathias Staudigl, Paulin Jacquot:
Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems. CoRR abs/2212.12045 (2022) - 2021
- [j10]Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl:
First-Order Methods for Convex Optimization. EURO J. Comput. Optim. 9: 100015 (2021) - [c5]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: 197-202 - [c4]Panayotis Mertikopoulos, Mathias Staudigl:
Equilibrium Tracking and Convergence in Dynamic Games. CDC 2021: 930-935 - [i14]Pavel E. Dvurechensky, Mathias Staudigl, Shimrit Shtern:
First-Order Methods for Convex Optimization. CoRR abs/2101.00935 (2021) - [i13]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 abs/2103.13115 (2021) - [i12]Olivier Bilenne, Paulin Jacquot, Nadia Oudjane, Mathias Staudigl, Cheng Wan:
A privacy-preserving distributed computational approach for distributed locational marginal prices. CoRR abs/2103.14094 (2021) - 2020
- [c3]Barbara Franci, Mathias Staudigl, Sergio Grammatico:
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. ECC 2020: 1274-1279 - [c2]Pavel E. Dvurechensky, Petr Ostroukhov, Kamil Safin, Shimrit Shtern, Mathias Staudigl:
Self-Concordant Analysis of Frank-Wolfe Algorithms. ICML 2020: 2814-2824 - [i11]Pavel E. Dvurechensky, Shimrit Shtern, Mathias Staudigl, Petr Ostroukhov, Kamil Safin:
Self-concordant analysis of Frank-Wolfe algorithms. CoRR abs/2002.04320 (2020) - [i10]Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen:
Incentive compatibility in sender-receiver stopping games. CoRR abs/2004.01910 (2020) - [i9]Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen:
A competitive search game with a moving target. CoRR abs/2008.12032 (2020) - [i8]Duong Viet Thong, Aviv Gibali, Mathias Staudigl, Phan Tu Vuong:
Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters. CoRR abs/2010.04597 (2020)
2010 – 2019
- 2019
- [j9]Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl:
Hessian Barrier Algorithms for Linearly Constrained Optimization Problems. SIAM J. Optim. 29(3): 2100-2127 (2019) - [i7]Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong:
Forward-backward-forward methods with variance reduction for stochastic variational inequalities. CoRR abs/1902.03355 (2019) - [i6]Barbara Franci, Sergio Grammatico, Mathias Staudigl:
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking. CoRR abs/1910.13903 (2019) - [i5]Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe:
Generalized Self-concordant Hessian-barrier algorithms. CoRR abs/1911.01522 (2019) - [i4]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 abs/1911.04758 (2019) - 2018
- [j8]Panayotis Mertikopoulos, Mathias Staudigl:
Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. J. Optim. Theory Appl. 179(3): 838-867 (2018) - [j7]William H. Sandholm, Mathias Staudigl:
Sample Path Large Deviations for Stochastic Evolutionary Game Dynamics. Math. Oper. Res. 43(4): 1348-1377 (2018) - [j6]Panayotis Mertikopoulos, Mathias Staudigl:
On the Convergence of Gradient-Like Flows with Noisy Gradient Input. SIAM J. Optim. 28(1): 163-197 (2018) - [i3]Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen:
Learning in time-varying games. CoRR abs/1809.03066 (2018) - [i2]Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl:
Hessian barrier algorithms for linearly constrained optimization problems. CoRR abs/1809.09449 (2018) - 2017
- [c1]Panayotis Mertikopoulos, Mathias Staudigl:
Convergence to nash equilibrium in continuous games with noisy first-order feedback. CDC 2017: 5609-5614 - 2016
- [i1]Panayotis Mertikopoulos, Mathias Staudigl:
On the convergence of gradient-like flows with noisy gradient input. CoRR abs/1611.06730 (2016) - 2014
- [j5]Tim Hellmann, Mathias Staudigl:
Evolution of social networks. Eur. J. Oper. Res. 234(3): 583-596 (2014) - [j4]Mathias Staudigl, Simon Weidenholzer:
Constrained interactions and social coordination. J. Econ. Theory 152: 41-63 (2014) - 2013
- [j3]Mathias Staudigl:
Co-evolutionary dynamics and Bayesian interaction games. Int. J. Game Theory 42(1): 179-210 (2013) - 2012
- [j2]Mathias Staudigl:
Stochastic stability in asymmetric binary choice coordination games. Games Econ. Behav. 75(1): 372-401 (2012) - 2011
- [j1]Mathias Staudigl:
Potential games in volatile environments. Games Econ. Behav. 72(1): 271-287 (2011)
Coauthor Index
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last updated on 2024-11-08 20:31 CET by the dblp team
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