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Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent., , , and . NeurIPS, (2020)Stochastic Congestion Games with Risk-Averse Players., , and . SAGT, volume 8146 of Lecture Notes in Computer Science, page 86-97. Springer, (2013)Escaping Braess's paradox through approximate Caratheodory's theorem., , , and . Inf. Process. Lett., (2023)Resolving Braess's Paradox in Random Networks., , , and . WINE, volume 8289 of Lecture Notes in Computer Science, page 188-201. Springer, (2013)No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix., , , , and . NeurIPS, (2020)A Submodular Approach for Electricity Distribution Network Reconfiguration., , , , , , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2018)On the Hardness of Network Design for Bottleneck Routing Games., , , and . SAGT, volume 7615 of Lecture Notes in Computer Science, page 156-167. Springer, (2012)Improving Selfish Routing for Risk-Averse Players., , and . WINE, volume 9470 of Lecture Notes in Computer Science, page 328-342. Springer, (2015)Node-Max-Cut and the Complexity of Equilibrium in Linear Weighted Congestion Games., , , , , and . ICALP, volume 168 of LIPIcs, page 50:1-50:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Risk-Averse Selfish Routing., , and . Math. Oper. Res., 44 (1): 38-57 (2019)