Mathias Staudigl

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Sample Path Large Deviations for Stochastic Evolutionary Game Dynamics

William H. Sandholm, Mathias Staudigl, W. Sandholm, 2015, Math. Oper. Res..

Generalized Self-concordant Hessian-barrier algorithms pdf

Mathias Staudigl, Pavel Dvurechensky, Cesar A. Uribe, 2019, ArXiv.

Hessian barrier algorithms for linearly constrained optimization problems

Mathias Staudigl, Panayotis Mertikopoulos, Immanuel M. Bomze, 2018, SIAM J. Optim..

On the convergence of gradient-like flows with noisy gradient input

Mathias Staudigl, Panayotis Mertikopoulos, P. Mertikopoulos, 2016, SIAM J. Optim..

Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters pdf

Mathias Staudigl, Aviv Gibali, Duong Viet Thong, 2020, ArXiv.

Convergence to nash equilibrium in continuous games with noisy first-order feedback

Mathias Staudigl, Panayotis Mertikopoulos, P. Mertikopoulos, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Potential games in volatile environments

Mathias Staudigl, Mathias Staudigl, 2011, Games Econ. Behav..

Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure

Mathias Staudigl, Sorin-Mihai Grad, Radu Ioan Bot, 2019, ArXiv.

Stochastic stability in asymmetric binary choice coordination games

Mathias Staudigl, Mathias Staudigl, 2012, Games Econ. Behav..

Evolution of Social Networks

Mathias Staudigl, Tim Hellmann, Mathias Staudigl, 2012, Eur. J. Oper. Res..

Constrained interactions and social coordination

Mathias Staudigl, Simon Weidenholzer, Mathias Staudigl, 2014, J. Econ. Theory.

Evolution of Social Networks

Mathias Staudigl, Tim Hellmann, 2012 .

Learning in time-varying games pdf

Mathias Staudigl, Dries Vermeulen, Panayotis Mertikopoulos, 2018, ArXiv.

Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities

Mathias Staudigl, Panayotis Mertikopoulos, P. Mertikopoulos, 2017, Journal of Optimization Theory and Applications.

Strong Convergence of Forward-Backward-Forward Methods for Pseudo-monotone Variational Inequalities with Applications to Dynamic User Equilibrium in Traffic Networks

Mathias Staudigl, Dennis Meier, Benoit Duvocelle, 2019, 1908.07211.

Self-concordant analysis of Frank-Wolfe algorithms pdf

Mathias Staudigl, Shimrit Shtern, Pavel Dvurechensky, 2020, ICML.

Incentive compatibility in sender-receiver stopping games pdf

Mathias Staudigl, Dries Vermeulen, J'anos Flesch, 2020, ArXiv.

A competitive search game with a moving target pdf

Mathias Staudigl, Dries Vermeulen, Benoit Duvocelle, 2020, Eur. J. Oper. Res..

Forward-backward-forward methods with variance reduction for stochastic variational inequalities pdf

Mathias Staudigl, Panayotis Mertikopoulos, Phan Tu Vuong, 2019, ArXiv.

Co-evolutionary dynamics and Bayesian interaction games

Mathias Staudigl, Mathias Staudigl, 2013, Int. J. Game Theory.

Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking

Sergio Grammatico, Mathias Staudigl, Barbara Franci, 2020, 2020 European Control Conference (ECC).

First-Order Methods for Convex Optimization pdf

Mathias Staudigl, Shimrit Shtern, Pavel Dvurechensky, 2021, EURO J. Comput. Optim..

Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities

Mathias Staudigl, Panayotis Mertikopoulos, Phan Tu Vuong, 2021 .

Stochastic Relaxed Inertial Forward-Backward-Forward splitting for Monotone Inclusions in Hilbert spaces

Mathias Staudigl, Uday V. Shanbhag, Phan Tu Vuong, 2021 .

Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters pdf

Mathias Staudigl, Phan Tu Vuong, Aviv Gibali, 2021, Networks and Spatial Economics.

A privacy-preserving distributed computational approach for distributed locational marginal prices pdf

Mathias Staudigl, Nadia Oudjane, Paulin Jacquot, 2021, ArXiv.

A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking pdf

Sergio Grammatico, Mathias Staudigl, Uday V. Shanbhag, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Hessian barrier algorithms for non-convex conic optimization

Mathias Staudigl, Pavel Dvurechensky, 2021 .

Large deviations and Stochastic stability in Population Games

William H. Sandholm, Mathias Staudigl, Srinivas Arigapudi, 2021, Journal of Dynamics & Games.

On a General class of stochastic co-evolutionary dynamics

Mathias Staudigl, Mathias Staudigl, 2010 .

Co-evolutionary dynamics of networks and play

Mathias Staudigl, Mathias Staudigl, 2009 .