Mathias Staudigl
Mathias Staudigl
Associate Professor for Multi-agent optimization
Verified email at - Homepage
Cited by
Cited by
Evolution of social networks
T Hellmann, M Staudigl
European Journal of Operational Research 234 (3), 583-596, 2014
On the convergence of gradient-like flows with noisy gradient input
P Mertikopoulos, M Staudigl
SIAM Journal on Optimization 28 (1), 163-197, 2018
Stochastic stability in asymmetric binary choice coordination games
M Staudigl
Games and Economic Behavior 75 (1), 372-401, 2012
Large deviations and stochastic stability in the small noise double limit
WH Sandholm, M Staudigl
Theoretical Economics 11 (1), 279-355, 2016
Constrained interactions and social coordination
M Staudigl, S Weidenholzer
Journal of Economic Theory 152, 41-63, 2014
Potential games in volatile environments
M Staudigl
Games and Economic Behavior 72 (1), 271-287, 2011
Forward-backward-forward methods with variance reduction for stochastic variational inequalities
RI Bot, P Mertikopoulos, M Staudigl, PT Vuong
arXiv preprint arXiv:1902.03355, 2019
Convergence to Nash equilibrium in continuous games with noisy first-order feedback
P Mertikopoulos, M Staudigl
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5609-5614, 2017
Learning in time-varying games
B Duvocelle, P Mertikopoulos, M Staudigl, D Vermeulen
arXiv preprint arXiv:1809.03066, 2018
Stochastic mirror descent dynamics and their convergence in monotone variational inequalities
P Mertikopoulos, M Staudigl
Journal of optimization theory and applications 179 (3), 838-867, 2018
Co-evolutionary dynamics and Bayesian interaction games
M Staudigl
International Journal of Game Theory 42 (1), 179-210, 2013
Sample path large deviations for stochastic evolutionary game dynamics
WH Sandholm, M Staudigl
Mathematics of Operations Research 43 (4), 1348-1377, 2018
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking
B Franci, M Staudigl, S Grammatico
2020 European Control Conference (ECC), 1274-1279, 2020
Self-concordant analysis of Frank-Wolfe algorithms
P Dvurechensky, P Ostroukhov, K Safin, S Shtern, M Staudigl
International Conference on Machine Learning, 2814-2824, 2020
Hessian barrier algorithms for linearly constrained optimization problems
IM Bomze, P Mertikopoulos, W Schachinger, M Staudigl
SIAM Journal on Optimization 29 (3), 2100-2127, 2019
On repeated games with imperfect public monitoring: From discrete to continuous time
M Staudigl, JH Steg
Institute of Mathematical Economics Working Paper, 2014
On a general class of stochastic co-evolutionary dynamics
M Staudigl
First-order methods for convex optimization
P Dvurechensky, M Staudigl, S Shtern
arXiv preprint arXiv:2101.00935, 2021
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
RI Boţ, SM Grad, D Meier, M Staudigl
Advances in Nonlinear Analysis 10 (1), 450-476, 2021
Large Deviations and Stochastic Stability in the Small Noise Double Limit, II: The Logit Model
WH Sandholm, M Staudigl
Institute of Mathematical Economics Working Paper, 2014
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