Articles with public access mandates - Mathias StaudiglLearn more
Available somewhere: 20
Minibatch forward-backward-forward methods for solving stochastic variational inequalities
RI Boţ, P Mertikopoulos, M Staudigl, PT Vuong
Stochastic Systems 11 (2), 112-139, 2021
Mandates: Austrian Science Fund, European Commission, Agence Nationale de la Recherche
Multiagent online learning in time-varying games
B Duvocelle, P Mertikopoulos, M Staudigl, D Vermeulen
Mathematics of Operations Research 48 (2), 914-941, 2023
Mandates: European Commission, Agence Nationale de la Recherche
Large deviations and stochastic stability in the small noise double limit
WH Sandholm, M Staudigl
Theoretical Economics 11 (1), 279-355, 2016
Mandates: US National Science Foundation, Vienna Science and Technology Fund, Austria
First-order methods for convex optimization
P Dvurechensky, S Shtern, M Staudigl
EURO Journal on Computational Optimization 9, 100015, 2021
Mandates: European Commission
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
Mandates: Netherlands Organisation for Scientific Research, European Commission
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
Mandates: European Commission
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, 2020
Mandates: Austrian Science Fund, German Research Foundation, European Commission
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
Mandates: European Commission
Learning in time-varying games
B Duvocelle, P Mertikopoulos, M Staudigl, D Vermeulen
arXiv preprint arXiv:1809.03066, 17, 2018
Mandates: European Commission
Generalized self-concordant analysis of Frank–Wolfe algorithms
P Dvurechensky, K Safin, S Shtern, M Staudigl
Mathematical Programming 198 (1), 255-323, 2023
Mandates: European Commission
Sample path large deviations for stochastic evolutionary game dynamics
WH Sandholm, M Staudigl
Mathematics of Operations Research 43 (4), 1348-1377, 2018
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: European Commission, Agence Nationale de la Recherche
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces
S Cui, U Shanbhag, M Staudigl, P Vuong
Computational Optimization and Applications 83 (2), 465-524, 2022
Mandates: European Commission
A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking
S Cui, B Franci, S Grammatico, UV Shanbhag, M Staudigl
2021 60th IEEE Conference on Decision and Control (CDC), 197-202, 2021
Mandates: Netherlands Organisation for Scientific Research
Hessian barrier algorithms for non-convex conic optimization
P Dvurechensky, M Staudigl
Mathematical Programming, 1-59, 2024
Mandates: German Research Foundation, European Commission
A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints
DP Kouri, M Staudigl, TM Surowiec
Computational Optimization and Applications 85 (2), 441-478, 2023
Mandates: US Department of Energy, European Commission
Computing dynamic user equilibrium on large-scale networks without knowing global parameters
DV Thong, A Gibali, M Staudigl, PT Vuong
Networks and Spatial Economics 21, 735-768, 2021
Mandates: European Commission
Convergent noisy forward-backward-forward algorithms in non-monotone variational inequalities
M Staudigl, P Mertikopoulos
IFAC-PapersOnLine 52 (3), 120-125, 2019
Mandates: European Commission, Agence Nationale de la Recherche
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems
F Fabiani, B Franci, S Sagratella, M Schmidt, M Staudigl
2022 IEEE 61st Conference on Decision and Control (CDC), 4137-4142, 2022
Mandates: European Commission, UK Research & Innovation
A new characterization of perfect public equilibrium payoffs in repeated games with imperfect public monitoring in continuous time
M Staudigl
Mandates: Vienna Science and Technology Fund, Austria
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