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First-Order Methods for Convex Optimization


Jan 06, 2021
Pavel Dvurechensky, Mathias Staudigl, Shimrit Shtern


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Self-concordant analysis of Frank-Wolfe algorithms


Feb 20, 2020
Pavel Dvurechensky, Shimrit Shtern, Mathias Staudigl, Petr Ostroukhov, Kamil Safin


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Generalized Self-concordant Hessian-barrier algorithms


Nov 06, 2019
Pavel Dvurechensky, Mathias Staudigl, César A. Uribe


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


Feb 09, 2019
Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl, Phan Tu Vuong

* 34 pages, 11 figures 

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Hessian barrier algorithms for linearly constrained optimization problems


Sep 25, 2018
Immanuel M. Bomze, Panayotis Mertikopoulos, Werner Schachinger, Mathias Staudigl

* 27 pages, 6 figures 

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Learning in time-varying games


Sep 10, 2018
Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen

* 38 pages 

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


Sep 20, 2017
Panayotis Mertikopoulos, Mathias Staudigl

* 36 pages, 5 figures; revised proof structure, added numerical case study in Section 5 

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