Mathias Staudigl

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Panayotis MertikopoulosCNRSEmail confirmado em imag.fr
Phan Tu VuongAssociate Professor, University of Southampton, UKEmail confirmado em soton.ac.uk
Pavel DvurechenskyWeierstrass Institute for Applied Analysis and StochasticsEmail confirmado em wias-berlin.de
Radu Ioan BotProfessor of Mathematics, University of ViennaEmail confirmado em univie.ac.at
Benoit DuvocellePRAG (Lecturer) in maths and computer science, IUT Nantes UniversitéEmail confirmado em univ-nantes.fr
Barbara FranciAssistant Professor @ Maastricht UniversityEmail confirmado em maastrichtuniversity.nl
William H. SandholmProfessor of Economics, University of WisconsinEmail confirmado em ssc.wisc.edu
Shimrit ShternAssistant Professor at the Data and Decision Sciences Faculty, Technion, IsraelEmail confirmado em technion.ac.il
Simon WeidenholzerUniversity of EssexEmail confirmado em essex.ac.uk
Kamil SafinMIPTEmail confirmado em phystech.edu
Tim HellmannUniversity of SouthamptonEmail confirmado em soton.ac.uk
Sergio GrammaticoDelft University of TechnologyEmail confirmado em tudelft.nl
Uday V. ShanbhagProfessor, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.Email confirmado em umich.edu
Sorin-Mihai GradENSTA Paris / Polytechnic Institute of ParisEmail confirmado em ensta-paris.fr
Paulin JacquotEDF Lab Saclay, OSIRIS DepartmentEmail confirmado em polytechnique.edu
János FleschMaastricht UniversityEmail confirmado em maastrichtuniversity.nl
Aviv GibaliAssociate Professor, Head of Applied Mathematics Department, Holon Institute of Technology (HIT), HoEmail confirmado em hit.ac.il
Werner SchachingerUniversität WienEmail confirmado em univie.ac.at
Duong Viet ThongNational Economics UniversityEmail confirmado em neu.edu.vn
César A. UribeRice UniversityEmail confirmado em rice.edu

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Mathias Staudigl

University of Mannheim

Email confirmado em uni-mannheim.de - Página inicial

Optimization Machine Learning Game Theory


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Evolution of social networks T Hellmann, M Staudigl European Journal of Operational Research 234 (3), 583-596, 2014	78	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	75	2018
Constrained interactions and social coordination M Staudigl, S Weidenholzer Journal of Economic Theory 152, 41-63, 2014	56	2014
Stochastic stability in asymmetric binary choice coordination games M Staudigl Games and Economic Behavior 75 (1), 372-401, 2012	49	2012
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	43	2021
Large deviations and stochastic stability in the small noise double limit WH Sandholm, M Staudigl Theoretical Economics 11 (1), 279-355, 2016	37	2016
Multiagent online learning in time-varying games B Duvocelle, P Mertikopoulos, M Staudigl, D Vermeulen Mathematics of Operations Research 48 (2), 914-941, 2023	36	2023
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	33	2020
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	33	2017
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	31	2020
First-order methods for convex optimization P Dvurechensky, S Shtern, M Staudigl EURO Journal on Computational Optimization 9, 100015, 2021	30	2021
Potential games in volatile environments M Staudigl Games and Economic Behavior 72 (1), 271-287, 2011	28	2011
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	26	2020
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	25	2018
Learning in time-varying games B Duvocelle, P Mertikopoulos, M Staudigl, D Vermeulen arXiv preprint arXiv:1809.03066, 17, 2018	22	2018
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	21	2019
Co-evolutionary dynamics and Bayesian interaction games M Staudigl International Journal of Game Theory 42, 179-210, 2013	21	2013
Generalized self-concordant analysis of Frank–Wolfe algorithms P Dvurechensky, K Safin, S Shtern, M Staudigl Mathematical Programming 198 (1), 255-323, 2023	16	2023
Sample path large deviations for stochastic evolutionary game dynamics WH Sandholm, M Staudigl Mathematics of Operations Research 43 (4), 1348-1377, 2018	15	2018
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	11	2019

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