Publications
Stochastic approximation for optimization in shape spaces. / Geiersbach, Caroline; Loayza-Romero, Estefania; Welker, Kathrin.
In: arXiv, 29.01.2020.Research output: Contribution to journal › Article
Stochastic Proximal Gradient Methods for Nonconvex Problems in Hilbert Spaces. / Geiersbach, Caroline; Scarinci, Teresa.
In: arXiv, 05.01.2020.Research output: Contribution to journal › Article
Improved Guarantees for Vertex Sparsification in Planar Graphs. / Goranci, Gramoz; Henzinger, Monika; Peng, Pan.
In: SIAM Journal on Discrete Mathematics, Vol. 34, No. 1, 01.2020, p. 130–162.Research output: Contribution to journal › Article
Multiscale stochastic optimization: modeling aspects and scenario generation. / Glanzer, Martin; Pflug, Georg.
In: Computational Optimization and Applications: an international journal, No. 75, 01.2020, p. 1-34.Research output: Contribution to journal › Article
Dynamic Approximate Maximum Independent Set of Intervals, Hypercubes and Hyperrectangles. / Henzinger, Monika; Neumann, Stefan; Wiese, Andreas.
36th International Symposium on Computational Geometry (SoCG 2020). 2020.Research output: Contribution to book › Contribution to proceedings
Distributionally robust optimization with multiple time scales: valuation of a thermal power plant. / van Ackooij, Wim; Escobar Luna-Barrera, Debora Daniela; Glanzer, Martin; Pflug, Georg.
In: Computational Management Science, 20.11.2019.Research output: Contribution to journal › Article
Dynamic low-stretch trees via dynamic low-diameter decompositions. / Forster, Sebastian; Goranci, Gramoz.
51st Annual ACM Symposium on the Theory of Computing (STOC 2019). 2019.Research output: Contribution to book › Contribution to proceedings
Efficient Distributed Workload (Re-)Embedding. / Henzinger, Monika; Neumann, Stefan; Schmid, Stefan.
ACM SIGMETRICS / IFIP Performance 2019: Phoenix, AZ, USA — June 24 - 28, 2019. 2019. p. 43-44.Research output: Contribution to book › Contribution to proceedings
Fully dynamic specrtal vertex sparsifiers and applications. / Durfee, David; Gao, Yu; Goranci, Gramoz; Peng, Richard.
51st Annual ACM Symposium on the Theory of Computing (STOC 2019). 2019.Research output: Contribution to book › Contribution to proceedings
Projected Stochastic Gradients for Convex Constrained Problems in Hilbert Spaces. / Geiersbach, Caroline; Pflug, Georg.
In: SIAM Journal on Optimization, 17.05.2019.Research output: Contribution to journal › Article
Efficient Distributed Workload (Re-)Embedding. / Henzinger, Monika; Neumann, Stefan; Schmid, Stefan.
In: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Vol. 3, 13, 01.03.2019.Research output: Contribution to journal › Meeting abstract/Conference paper
Incorporating statistical model error into the calculation of acceptability prices of contingent claims. / Glanzer, Martin; Pflug, Georg (Corresponding author); Pichler, Alois.
In: Mathematical Programming, Vol. 174, No. 1, 03.2019, p. 499-524.Research output: Contribution to journal › Article
New amortized cell-probe lower bounds for dynamic problems. / Bhattacharya, Sayan; Henzinger, Monika; Neumann, Stefan.
In: Theoretical Computer Science, 01.02.2019.Research output: Contribution to journal › Article
Computational Aspects for Interface Identification Problems with Stochastic Modelling. / Geiersbach, Caroline; Welker, Kathrin ; Loayza, Estefania.
TBD. 2019.Research output: Contribution to book › Contribution to proceedings
A forward-backward penalty scheme with inertial effects for monotone inclusions. Applications to convex bilevel programming. / Bot, Radu Ioan; Nguyen, Dang Khoa.
In: Optimization, Vol. 68, No. 1, 2019, p. 1855 - 1880.Research output: Contribution to journal › Article
A proximal minimization algorithm for structured nonconvex and nonsmooth problems. / Bot, Radu Ioan; Csetnek, Ernö Robert; Nguyen, Dang Khoa.
In: SIAM Journal on Optimization, Vol. 29, No. 2, 2019, p. 1300 - 1328.Research output: Contribution to journal › Article
A Stochastic Gradient Method with Mesh Refinement for PDE Constrained Optimization under Uncertainty. / Geiersbach, Caroline; Wollner, Winnifried.
In: arXiv, 2019.Research output: Contribution to journal › Article
An incremental mirror descent subgradient algorithm with random sweeping and proximal step. / Bot, Radu Ioan; Böhm, Axel.
In: Optimization, Vol. 68, No. 1, 2019, p. 33 - 50.Research output: Contribution to journal › Article
Finding Tiny Clusters in Bipartite Graphs. / Neumann, Stefan.
INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft. 2019.Research output: Contribution to book › Contribution to proceedings
Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces. / Bot, Radu Ioan; Csetnek, Ernö Robert; Meier, Dennis.
In: Optimization Methods and Software, Vol. 34, No. 3, 2019, p. 489 - 514.Research output: Contribution to journal › Article
Location of charging stations in electric car sharing systems. / Leitner, Markus; Brandstätter, Georg; Ljubic, Ivana.
In: Transportation Science, 2019.Research output: Contribution to journal › Article
Optimal XL-insurance under Wasserstein-type ambiguity. / Birghila, Corina; Pflug, Georg.
In: Insurance: Mathematics and Economics, Vol. 88, 2019, p. 30-43.Research output: Contribution to journal › Article
Robust bounds for tail index. / Birghila, Corina; Engelke, Sebastian.
2019.Research output: Working paper
Variable metric ADMM for solving variational inequalities with monotone operators over affine sets. / Bot, Radu Ioan; Csetnek, Ernö Robert; Meier, Dennis.
Splitting Algorithms, Modern Operator Theory, and Applications. ed. / Heinz H. Bauschke; Regina Sandra Burachik; D. Russell Luke. Springer Nature, Heidelberg, 2019. p. 91 - 112.Research output: Contribution to book › Chapter
Bipartite Stochastic Block Models with Tiny Clusters. / Neumann, Stefan.
Thirty-second Conference on Neural Information Processing Systems (NIPS). 2018.Research output: Contribution to book › Contribution to proceedings