Navigation auf uzh.ch

Suche

Department of Informatics Computation and Economics Research Group

Publications

Recent Working Papers

  1. Truthful Aggregation of LLMs with an Application to Online Advertising 
    Ermis Soumalias, Michael Curry and Sven Seuken ArXiv Preprint 
  2. Machine Learning-powered Course Allocation.
    Ermis Soumalias*, Behnoosh Zamanlooy*, Jakob Weissteiner and Sven Seuken.
    Abstract published in the Proceedings of the 25th ACM Conference on Economics and Computation (EC), New Haven, CT, July 2024.
    Full paper version including appendix: [pdf]
  3. Search and Matching for Adoption from Foster Care. Nils Olberg, Ludwig Dierks, Sven Seuken, Vincent W. Slaugh, M. Utku Ünver. Working paper, March 2021. [pdf on arxiv]
  4. Revenue Maximization for Consumer Software: Subscription or Perpetual License? Ludwig Dierks and Sven Seuken. Working Paper. July 2020. [pdf on arxiv]
  5. Machine Learning-powered Iterative Combinatorial Auctions. Gianluca Brero, Benjamin Lubin, and Sven Seuken. Working Paper. August 2021. [pdf on arxiv]
  6. Monotonic and Non-Monotonic Solution Concepts for Generalized Circuits.
    Steffen Schuldenzucker and Sven Seuken. Working Paper. July 2019. [pdf on arxiv]
  7. The Computational Complexity of Clearing Financial Networks with Credit Default Swaps.
    Steffen Schuldenzucker, Sven Seuken, and Stefano Battiston. Working Paper. May 2019. [pdf on arxiv] [Related talk at ITCS'17] [Related talk at YoungEC'19]

Journal Publications

  1. Designing Core-selecting Payment Rules: A Computational Search Approach. Benedikt Bünz, Benjamin Lubin, and Sven Seuken. Forthcoming in Information Systems Research (ISR) - Special Issue on Market Design and Analytics. Extended Abstract published in the Proceedings of the 19th ACM Conference on Economics and Computation (EC), Ithaca, NY, June 2018. Full version (July 2021). [SSRN] [Talk at EC'18]
  2. Cloud Pricing: The Spot Market Strikes Back. Ludwig Dierks and Sven Seuken. Forthcoming, Management Science, 2021. (extended abstract also published at EC'19): [pdf, open access] [Talk at EC'19]
  3. On the cluster admission problem for cloud computing. Ludwig Dierks, Ian Kash and Sven Seuken. Journal of Artificial Intelligence Research (JAIR) 71 (2021):1-40 (supersedes the NetEcon'19 paper below). [pdf]
  4. Partial Strategyproofness: Relaxing Strategyproofness for the Random Assignment Problem. Timo Mennle and Sven Seuken. Journal of Economic Theory (JET) Volume 191, January 2021, 105144. (extended abstract also published at EC'14). [pdf, open access]
  5. Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification.  Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, and Sven Seuken. Journal of Artificial Intelligence Research (JAIR) 69 (2020):531-570 (supersedes the IJCAI'17 paper below). [pdf] [Github Repo]
  6. Default Ambiguity: Credit Default Swaps Create New Systemic Risks in Financial Networks. Steffen Schuldenzucker, Sven Seuken, and Stefano Battiston. Management Science, 2020, Vol. 66(5):1981-1998. (PDF, open access) [Related talk at YoungEC'19]
  7. Formal Models and Algorithms for Decentralized Decision Making Under Uncertainty. Sven Seuken and Shlomo Zilberstein. In Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), 17:2, pp. 190-250, 2008.[pdf]

Conference and Workshop Publications

  1. Machine Learning-powered Combinatorial Clock Auction.
    Ermis Soumalias*, Jakob Weissteiner*, Jakob Heiss and Sven Seuken.
    In Proceedings of the Thirty-eight AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, February 2024.
    Full paper version including appendix: [pdf][code]
  2. Bayesian Optimization-based Combinatorial Assignment
    Jakob Weissteiner*, Jakob Heiss*, Julien Siems* and Sven Seuken
    In Proceedings of the Thirty-seventh AAAI Conference on Artificial Intelligence (AAAI'23), Washington, D.C., USA, February 2023.
    Full paper version including appendix: [pdf] [code]
  3. NOMU: Neural Optimization-based Model Uncertainty
    Jakob Heiss*, Jakob Weissteiner*, Hanna Wutte*, Sven Seuken, Josef Teichmann
    In Proceedings of the Thirty-ninth International Conference on Machine Learning (ICML'22), Baltimore, USA, July 2022.
    Full paper version including appendix: [pdf] [code]
  4. Fourier Analysis-based Iterative Combinatorial Auctions.
    Jakob Weissteiner*, Chris Wendler*, Sven Seuken, Ben Lubin, and Markus Püschel.
    In Proceedings of the Thirty-first International joint Conference on Artificial Intelligence (IJCAI'22), Vienna, AUT, July 2022.
    Full paper version including appendix:  [pdf] [code]
  5. Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment
    Jakob Weissteiner*, Jakob Heiss*, Julien Siems* and Sven Seuken.
    In Proceedings of the Thirty-first International joint Conference on Artificial Intelligence (IJCAI'22), Vienna, AUT, July 2022.
    Full paper version including appendix: [pdf] [code]
  6. Market Design for Drone Traffic Management. Sven Seuken, Paul Friedrich, and Ludwig Dierks. Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Vancouver, CA, February 2022: [pdf on arxiv]
  7. The Cost of Simple Bidding in Combinatorial Auctions. Vitor Bosshard and Sven Seuken. Extended Abstract published in the Proceedings of the 22nd ACM Conference on Economics and Computation (EC), July 2021. Full version (September 2021): [pdf on arxiv]
  8. iMLCA: Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding. Manuel Beyeler, Gianluca Brero, Benjamin Lubin, and Sven Seuken. Extended Abstract published in the Proceedings of the 22nd ACM Conference on Economics and Computation (EC), July 2021. Full version (August 2021): [pdf on arxiv]
  9. Portfolio Compression in Financial Networks: Incentives and Systemic Risk. Steffen Schuldenzucker and Sven Seuken. Extended Abstract published in the Proceedings of the 21st ACM Conference on Economics and Computation (EC), July 2020. Full version (August 2020):  [SSRN]
  10. The Competitive Effects of Variance-based Pricing. Ludwig Dierks and Sven Seuken. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, Japan, July 2020. [pdf]
  11. Deep Learning-powered Iterative Combinatorial Auctions.
    Jakob Weissteiner and Sven Seuken.
    In Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York, USA, February 2020.
    Full paper version including appendix: [pdf] [code]
  12. Cloud Pricing: The Spot Market Strikes Back. 
    Ludwig Dierks and Sven Seuken. Extended Abstract published in the Proceedings of the 20th ACM Conference on Economics and Computation (EC), Phoenix, AZ, June 2019. Full version (July 2020): [pdf] [SSRN] [Talk at EC'19]
  13. On the cluster admission problem for cloud computing. Ludwig Dierks, Ian Kash and Sven Seuken. In Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation (NetEcon), June 2019.[pdf] [full paper]
  14. Fast Iterative Combinatorial Auctions via Bayesian Learning. Gianluca Brero, Sébastien Lahaie, and Sven Seuken. In Proceedings of the Thirty-third AAAI Conference of Artificial Intelligence (AAAI-19), Honolulu, USA, January 2019. [pdf]
  15. Combinatorial Auctions via Machine Learning-based Preference Elicitation. Gianluca Brero, Benjamin Lubin, and Sven Seuken. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July 2018. [pdf]
  16. Non-decreasing Payment Rules for Combinatorial Auctions. Vitor Bosshard, Ye Wang, and Sven Seuken. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July 2018. With corrigendum. [pdf on arxiv]
  17. Designing Core-selecting Payment Rules: A Computational Search Approach. Benedikt Bünz, Benjamin Lubin, and Sven Seuken. Extended Abstract published in the Proceedings of the 19th ACM Conference on Economics and Computation (EC), Ithaca, NY, June 2018. Full version (January 2020): [pdf] [SSRN] [Talk at EC'18]
  18. First-Choice Maximal and First-Choice Stable School Choice Mechanisms.
    Umut Dur, Timo Mennle, and Sven Seuken. In Proceedings of the 19th ACM Conference on Economics and Computation (EC), Ithaca, NY, June 2018.[acm.org] [pdf including appendix on SSRN] [Talk at EC'18] 
  19. Financing the Web of Data with Delayed-Answer Auctions. Tobias Grubenmann, Abraham Bernstein, Dmitry Moor, and Sven Seuken. In Proceedings of the 2018 WebConference (WWW), Lyon, France, April 2018.[pdf]
  20. A Bayesian Clearing Mechanism for Combinatorial Auctions.
    Gianluca Brero and Sébastien Lahaie.  In Proceedings of the Thirty-Second AAAI Conference of Artificial Intelligence (AAAI-18), New Orleans, USA, February 2018.[pdf]
  21. Challenges of source selection in the WoD.
    Tobias Grubenmann, Abraham Bernstein, Dmitry Moor, and Sven Seuken. In Proceedings of the 16th International Semantic Web Conference (ISWC), Vienna, Austria, October 2017.[pdf]
  22. Decentralizing the Semantic Web: Who will pay to realize it?
    Tobias Grubenmann, Daniele Dell' Aglio, Abraham Bernstein, Dmitry Moor and Sven Seuken, In Proceedings of the ISWC W    orkshop on Decentralizing the Semantic Web, Vienna, Austria, October 2017.[pdf]
  23. Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces.
    Vitor Bosshard, Benedikt Bünz, Benjamin Lubin and Sven Seuken. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 2017. [pdf] [long][Github Repo]
  24. SATS: A Universal Spectrum Auction Test Suite.
    Michael Weiss, Benjamin Lubin, and Sven Seuken. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), São Paulo, Brazil, May 2017. [pdf] [Spectrum Auction Test Suite]
  25. Save Money or Feel Cozy? A Field Experiment Evaluation of a Smart Thermostat that Learns Heating Preferences.
    Mike Shann, Alper Alan, Sven Seuken, Enrico Costanza, and Sarvapali Ramchurn. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), São Paulo, Brazil, May 2017.[pdf]
  26. Probably Approximately Efficient Combinatorial Auctions via Machine Learning.
    Gianluca Brero, Benjamin Lubin, and Sven Seuken. In Proceedings of the 31st Conference on Artificial Intelligence (AAAI), San Francisco, CA, February 2017. [pdf]
  27. Finding Clearing Payments in Financial Networks with Credit Default Swaps is PPAD-complete.
    Steffen Schuldenzucker, Sven Seuken, and Stefano Battiston. In Proceedings of the 8th Innovations in Theoretical Computer Science (ITCS) Conference, Berkeley, USA, January 2017. [pdf] Full (working) paper: [pdf] [Talk at ITCS'17] [Related talk at YoungEC'19]
  28. The Pareto Frontier for Random Mechanisms [Extended Abstract].
    Timo Mennle and Sven Seuken. In Proceedings of the 17th ACM Conference on Economics and Computation (EC), Maastricht, The Netherlands, July 2016.  [acm.org] [current working paper on arxiv]
  29. Clearing Payments in Financial Networks with Credit Default Swaps [Extended Abstract].
    Steffen Schuldenzucker, Sven Seuken, and Stefano Battiston. In Proceedings of the 17th ACM Conference on Economics and Computation (EC), Maastricht, The Netherlands, July 2016. [pdf] Related (full) working papers: [1] [2] [Related talk at YoungEC'19]
  30. Core-Selecting Payment Rules for Combinatorial Auctions with Uncertain Availability of Goods.
    Dmitry Moor, Sven Seuken, Tobias Grubenmann, and Abraham Bernstein. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, July 2016.[pdf]
  31. Personalized Hitting Time for Informative Trust Mechanisms Despite Sybils.
    Brandon Liu, David C. Parkes, and Sven Seuken. In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), San Jose, CA, May 2016. [pdf]
  32. It is too Hot: An In-Situ Study of Three Designs for Heating.
    Alper T. Alan, Mike Shann, Enrico Costanza, Sarvapali D. Ramchurn, and Sven Seuken. In Proceedings of the Conference on Human Factors in Computing Systems (CHI), Singapore, May 2016. [pdf]
  33. New Core-Selecting Payment Rules with Better Fairness and Incentive Properties [Extended Abstract].
    Benjamin Lubin, Benedikt Bünz, and Sven Seuken. In Proceedings of the Third Conference on Auctions, Market Mechanisms and Their Applications (AMMA), Chicago, IL, August 2015. [current working paper]
  34. A Double Auction for Querying the Web of Data [Extended Abstract].
    Dmitry Moor, Tobias Grubenmann, Sven Seuken, and Abraham Bernstein. In Proceedings of the Third Conference on Auctions, Market Mechanisms and Their Applications (AMMA), Chicago, IL, August 2015. [pdf]
  35. The Power of Local Manipulation Strategies in Assignment Mechanisms.
    Timo Mennle, Michael Weiss, Basil Philipp, and Sven Seuken. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, August 2015. [acm.org] [pdf] 
  36. A Faster Core Constraint Generation Algorithm for Combinatorial Auctions.
    Benedikt Bünz, Sven Seuken, and Benjamin Lubin. In Proceedings of the 29th Conference on Artificial Intelligence (AAAI), Austin, Texas, January 2015. [pdf]
  37. An Axiomatic Approach to Characterizing and Relaxing Strategyproofness of One-sided Matching Mechanisms [Extended Abstract].
    Timo Mennle and Sven Seuken. In Proceedings of the 15th ACM Conference on Economics and Computation (EC), Palo Alto, USA, June 2014. [acm.org]  [current working paper on arxiv]
  38. Adaptive Home Heating under Weather and Price Uncertainty using GPs and MDPs.
    Mike Shann and Sven Seuken. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paris, France, May 2014. [pdf]
  39. Sybil-proof Accounting Mechanisms with Transitive Trust.
    Sven Seuken and David C. Parkes. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paris, France, May 2014. [pdf] Note: this paper supersedes our NetEcon'11 paper.
  40. An Active Learning Approach to Home Heating in the Smart Grid.
    Mike Shann and Sven Seuken. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, August 2013. [pdf]
  41. Market User Interface Design.
    Sven Seuken, David C. Parkes, Eric Horvitz, Kamal Jain, Mary Czerwinski, and Desney Tan. In Proceedings of the 13th ACM Conference on Electronic Commerce (EC), Valencia, Spain, June 2012. [pdf]
  42. CrowdManager - Combinatorial Allocation and Pricing of Crowdsourcing Tasks with Time Constraints.
    Patrick Minder, Sven Seuken, Avi Bernstein, Mengia Zollinger. In Proceedings of the Workshop on Social Computing and User Generated Content (SCUGC), Valencia, Spain, June 2012. [pdf]
  43. Market User Interface Design [Extended Abstract].
    Sven Seuken, David C. Parkes, Eric Horvitz, Kamal Jain, Mary Czerwinski, and Desney Tan. In Proceedings of the Second Conference on Auctions, Market Mechanisms and Their Applications (AMMA), New York, NY, August 2011.[pdf]
  44. Sharing in BitTorrent can be Rational [Extended Abstract].
    Mike Ruberry and Sven Seuken. In Proceedings of the Second Conference on Auctions, Market Mechanisms and Their Applications (AMMA), New York, NY, August 2011.[pdf]
  45. Incentive-Compatible Escrow Mechanisms.
    Jens Witkowski, Sven Seuken, and David C. Parkes. In Proceedings of the 25th Conference on Artificial Intelligence (AAAI), San Francisco, CA, August 2011.[pdf]
  46. On the Sybil-Proofness of Accounting Mechanisms.
    Sven Seuken and David C. Parkes. In Proceedings of the Workshop on the Economics of Networks, Systems, and Computation (NetEcon), San Jose, CA, June 2011.[pdf] Note: this paper is superseded by our AAMAS'14 paper.
  47. Hidden Market Design (Challenge Paper).
    Sven Seuken, Kamal Jain, David C. Parkes. In Proceedings of the Conference on Artificial Intelligence (AAAI), Atlanta, GA, July 2010.[pdf]
  48. Accounting Mechanisms for Distributed Work Systems.
    Sven Seuken, Jie Tang, David C. Parkes. In Proceedings of the Conference on Artificial Intelligence (AAAI), Atlanta, GA, July 2010.[pdf]
  49. Market Design and Analysis for a P2P Backup System.
    Sven Seuken, Denis Charles, Max Chickering, and Sidd Puri. In Proceedings of the ACM Conference on Electronic Commerence (EC), Cambridge, MA, June 2010.[pdf]
  50. Hybrid Transitive Trust Mechanisms.
    Jie Tang, Sven Seuken, David C. Parkes. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , Toronto, CA, May 2010.[pdf]
  51. Hidden Markets: UI Design for a P2P Backup Application.
    Sven Seuken, Kamal Jain, Desney Tan, and Mary Czerwinski. In Proceedings of the Conference on Human Factors in Computing Systems (CHI) , Atlanta, GA, April 2010.[pdf]
  52. Designing User Interfaces for Hidden Markets.
    Sven Seuken, Denis Charles, Max Chickering, and Sidd Puri. In Proceedings of the IJCAI Workshop on Intelligence and Interaction, Pasadena, CA, July 2009.[pdf]
  53. Market Design and Analysis for a P2P Backup System.
    Sven Seuken, Denis Charles, Max Chickering, and Sidd Puri. In Proceedings of the Workshop on the Economics of Networks, Systems, and Computation (NetEcon), Stanford, CA, July 2009.[pdf]
  54. Market Design for a P2P Backup System.
    Sven Seuken, Denis Charles, Max Chickering, and Sidd Puri. Extended abstract at the 1st Conference on Auctions, Market Mechanisms and Applications (AMMA), Boston, MA, May 2009.[pdf]
  55. Handling Interdependent Values in an Auction Mechanism for Enhanced Bandwidth Allocation in Tactical Data Networks.
    Mark Klein, David C. Parkes, Daniel Plakosh, Sven Seuken, and Kurt Wallnau. In Proceedings of the Workshop on the Economics of Networks, Systems, and Computation (NetEcon), Seattle, WA, August 2008.[pdf]
  56. Partially-Synchronized DEC-MDPs in Dynamic Mechanism Design.
    Sven Seuken, Ruggiero Cavallo, and David Parkes. In Proceedings of the 23rd Conference on Artificial Intelligence (AAAI), Chicago, Illinois, July 2008.[pdf]
  57. Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs.
  58. Sven Seuken and Shlomo Zilberstein. In Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence (UAI), Vancouver, Canada, July 2007.[pdf]
  59. Memory-Bounded Dynamic Programming for DEC-POMDPs.
    Sven Seuken and Shlomo Zilberstein. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.[pdf]
  60. EMIKA System: Architecture and Prototypic Realization.
    Guenter Mueller, Torsten Eymann, Norbert Nopper, and Sven Seuken. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC), The Hague, The Netherlands, October 2004.[pdf] [ps]

Older Working Papers and Retired Papers:

  1. Enabling Trade-offs in Machine Learning-based Matching for Refugee Resettlement. Nils Olberg and Sven Seuken. Working Paper. September 2019. [arxiv]
  2. The Design of a Combinatorial Data Market. Dmitry Moor, Sven Seuken, Tobias Grubenmann, and Abraham Bernstein. Working Paper. December 2018.[pdf]
  3. New Core-Selecting Payment Rules with Better Fairness and Incentive Properties. Benjamin Lubin, Benedikt Bünz, and Sven Seuken. Working Paper. April 2016. [pdf]
  4. Trade-offs in School Choice: Comparing Deferred Acceptance, the Classic and the Adaptive Boston Mechanism.
    Timo Mennle and Sven Seuken. Working Paper. July 2017 (first version: February 2014). [arxiv]
  5. Hybrid Mechanisms: Trading Off Strategyproofness and Efficiency of Random Assignment Mechanisms.
    Timo Mennle and Sven Seuken. Working Paper. July 2017 (first version: February 2013). [arxiv]
  6. Design and Analysis of a Hidden Peer-to-peer Backup Market.
    Sven Seuken, Denis Charles, Max Chickering, Mary Czerwinski, Kamal Jain, David C. Parkes, Sidd Puri, and Desney Tan. Working paper. [pdf] [SystemDemo.wmv] [MarketUIDemo.wmv]
  7. Behavioral Factors in Market User Interface Design.
    Sven Seuken, David C. Parkes, Eric Horvitz, Kamal Jain, Mary Czerwinski, and Desney Tan. Working paper. [pdf]
  8. Work Accounting Mechanisms: Theory and Practice.
    Sven Seuken, Michel Meulpolder, Dick H. J. Epema, David C. Parkes, Johan A. Pouwelse, and Jie Tang. Working paper. [pdf]
  9. Selfishness vs. Altruism in P2P Networks: A Field Experiment.
    Sven Seuken, Johan Pouwelse, and David Parkes. Work in progress.