Contributions published at Computation and Economics (Sven Seuken)

Contribution  
Show abstractWei Qiu, Dynamic Clearing with Liquidity Assistance in Financial Networks with Credit Default Swaps, University of Zurich, Faculty of Business, Economics and Informatics, 2019. (Master's Thesis)
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Show abstractDmitry Moor, Data markets with dynamic arrival of buyers and sellers, In: The 14th Workshop on the Economics of Networks, Systems and Computation, ACM Press, New York, New York, USA, 2019-07-28. (Conference or Workshop Paper published in Proceedings)
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Show abstractDavid Lehnherr, The Good, the Bad and the Ugly - Evaluation of Cluster Admission Policies on Historical Deployments, University of Zurich, Faculty of Business, Economics and Informatics, 2019. (Bachelor's Thesis)
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Nils Kristof Olberg, Sven Seuken, Enabling Trade-offs in Machine Learning-based Matching for Refugee Resettlement, In: -, No. -, 2019. (Working Paper)
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Show abstractLudwig Dierks, Ian Kash, Sven Seuken, On the cluster admission problem for cloud computing, In: Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation (NetEcon 2019) , New York, NY, USA, 2019. (Conference or Workshop Paper published in Proceedings)
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Show abstractSteffen Schuldenzucker, Sven Seuken, Stefano Battiston, Default Ambiguity: Credit Default Swaps Create New Systemic Risks in Financial Networks, Management Science, 2019. (Journal Article)
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Show abstractLudwig Dierks, Sven Seuken, Cloud Pricing: The Spot Market Strikes Back, In: Proceedings of the 2019 ACM Conference on Economics and Computation, New York, NY, USA , 2019. (Conference or Workshop Paper published in Proceedings)
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Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken, Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification, In: -, No. -, 2019. (Working Paper)
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Gianluca Brero, Sébastien Lahaie, Sven Seuken, Fast Iterative Combinatorial Auctions via Bayesian Learning, In: Proceedings of the AAAI Conference on Artificial Intelligence, arXiv, 2019-01-27. (Conference or Workshop Paper published in Proceedings)
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Show abstractPouyan Rezakhani, Analysis of Systemic Risk in Financial Networks with Credit Default Swpas via Monte Carlo Simulations, University of Zurich, Faculty of Business, Economics and Informatics, 2019. (Master's Thesis)
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Tobias Grubenmann, Daniele Dell' Aglio, Abraham Bernstein, Dmitrii Moor, Sven Seuken, Make restaurants pay your server bills, In: ISWC 2018 Posters & Demonstrations and Industry Tracks, CEUR-WS.org, Aachen, 2018-10-08. (Conference or Workshop Paper)
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Show abstractMarius Högger, Bayesian Optimization for Best Response Computation in Combinatorial Auctions, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor's Thesis)
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Vitor Bosshard, Ye Wang, Sven Seuken, Non-decreasing Payment Rules for Combinatorial Auctions, In: Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}, International Joint Conferences on Artificial Intelligence Organization, California, 2018. (Conference or Workshop Paper published in Proceedings)
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Gianluca Brero, Benjamin Lubin, Sven Seuken, Combinatorial Auctions via Machine Learning-based Preference Elicitation., In: nternational Joint Conference on Artificial Intelligence and the Twenty-third European Conference on Artificial Intelligence (IJCAI-ECAI-18), 2018. (Conference or Workshop Paper published in Proceedings)
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Show abstractFabio Elia Isler, Design of a Combinatorial Market for Offloading Cellular Traffic via Wireless Access Points, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master's Thesis)
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Gianluca Brero, Sébastien Lahaie, A Bayesian clearing mechanism for combinatorial auctions, In: Thirty-Second AAAI Conference on Artificial Intelligence, 2018. (Conference or Workshop Paper published in Proceedings)
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Show abstractVitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken, Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces, In: Twenty-Sixth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, California, 2017. (Conference or Workshop Paper published in Proceedings)
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Show abstractDaniel Abächerli, A Parametric Proof for Strategyproofness in the Large of the Probabilistic Serial Mechanism, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Master's Thesis)
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Show abstractNicolas Küchler, Reducing Bidding Complexity in Machine Learning-based Combinatorial Auctions, University of Zurich, Faculty of Business, Economics and Informatics, 2017. (Bachelor's Thesis)
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Gianluca Brero, Benjamin Lubin, Sven Seuken, Probably Approximately Efficient Combinatorial Auctions via Machine Learning, In: AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California, United States, 2017. (Conference or Workshop Paper published in Proceedings)
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