Published in: LIPIcs, Volume 251, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023)
Yuqing Kong and Grant Schoenebeck. False Consensus, Information Theory, and Prediction Markets. In 14th Innovations in Theoretical Computer Science Conference (ITCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 251, pp. 81:1-81:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{kong_et_al:LIPIcs.ITCS.2023.81, author = {Kong, Yuqing and Schoenebeck, Grant}, title = {{False Consensus, Information Theory, and Prediction Markets}}, booktitle = {14th Innovations in Theoretical Computer Science Conference (ITCS 2023)}, pages = {81:1--81:23}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-263-1}, ISSN = {1868-8969}, year = {2023}, volume = {251}, editor = {Tauman Kalai, Yael}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2023.81}, URN = {urn:nbn:de:0030-drops-175844}, doi = {10.4230/LIPIcs.ITCS.2023.81}, annote = {Keywords: Agreeing to disagree, false consensus, information theory, prediction market} }
Published in: LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)
Noah Burrell and Grant Schoenebeck. Relaxing Common Belief for Social Networks. In 12th Innovations in Theoretical Computer Science Conference (ITCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 185, pp. 45:1-45:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{burrell_et_al:LIPIcs.ITCS.2021.45, author = {Burrell, Noah and Schoenebeck, Grant}, title = {{Relaxing Common Belief for Social Networks}}, booktitle = {12th Innovations in Theoretical Computer Science Conference (ITCS 2021)}, pages = {45:1--45:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-177-1}, ISSN = {1868-8969}, year = {2021}, volume = {185}, editor = {Lee, James R.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.45}, URN = {urn:nbn:de:0030-drops-135841}, doi = {10.4230/LIPIcs.ITCS.2021.45}, annote = {Keywords: Social networks, network revolt games, common belief} }
Published in: LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)
Grant Schoenebeck and Fang-Yi Yu. Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach. In 12th Innovations in Theoretical Computer Science Conference (ITCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 185, pp. 78:1-78:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{schoenebeck_et_al:LIPIcs.ITCS.2021.78, author = {Schoenebeck, Grant and Yu, Fang-Yi}, title = {{Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach}}, booktitle = {12th Innovations in Theoretical Computer Science Conference (ITCS 2021)}, pages = {78:1--78:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-177-1}, ISSN = {1868-8969}, year = {2021}, volume = {185}, editor = {Lee, James R.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.78}, URN = {urn:nbn:de:0030-drops-136177}, doi = {10.4230/LIPIcs.ITCS.2021.78}, annote = {Keywords: Information elicitation without verification, crowdsourcing, machine learning} }
Published in: LIPIcs, Volume 145, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2019)
Grant Schoenebeck, Biaoshuai Tao, and Fang-Yi Yu. Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 145, pp. 39:1-39:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
@InProceedings{schoenebeck_et_al:LIPIcs.APPROX-RANDOM.2019.39, author = {Schoenebeck, Grant and Tao, Biaoshuai and Yu, Fang-Yi}, title = {{Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization}}, booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2019)}, pages = {39:1--39:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-125-2}, ISSN = {1868-8969}, year = {2019}, volume = {145}, editor = {Achlioptas, Dimitris and V\'{e}gh, L\'{a}szl\'{o} A.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2019.39}, URN = {urn:nbn:de:0030-drops-112542}, doi = {10.4230/LIPIcs.APPROX-RANDOM.2019.39}, annote = {Keywords: Nonsubmodular Influence Maximization, Bootstrap Percolation, Stochastic Blockmodel} }
Published in: LIPIcs, Volume 94, 9th Innovations in Theoretical Computer Science Conference (ITCS 2018)
Yuqing Kong and Grant Schoenebeck. Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. In 9th Innovations in Theoretical Computer Science Conference (ITCS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 94, pp. 13:1-13:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
@InProceedings{kong_et_al:LIPIcs.ITCS.2018.13, author = {Kong, Yuqing and Schoenebeck, Grant}, title = {{Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity}}, booktitle = {9th Innovations in Theoretical Computer Science Conference (ITCS 2018)}, pages = {13:1--13:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-060-6}, ISSN = {1868-8969}, year = {2018}, volume = {94}, editor = {Karlin, Anna R.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2018.13}, URN = {urn:nbn:de:0030-drops-83174}, doi = {10.4230/LIPIcs.ITCS.2018.13}, annote = {Keywords: peer prediction, equilibrium selection, information theory} }
Published in: LIPIcs, Volume 94, 9th Innovations in Theoretical Computer Science Conference (ITCS 2018)
Yuqing Kong and Grant Schoenebeck. Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case. In 9th Innovations in Theoretical Computer Science Conference (ITCS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 94, pp. 14:1-14:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
@InProceedings{kong_et_al:LIPIcs.ITCS.2018.14, author = {Kong, Yuqing and Schoenebeck, Grant}, title = {{Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case}}, booktitle = {9th Innovations in Theoretical Computer Science Conference (ITCS 2018)}, pages = {14:1--14:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-060-6}, ISSN = {1868-8969}, year = {2018}, volume = {94}, editor = {Karlin, Anna R.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2018.14}, URN = {urn:nbn:de:0030-drops-83191}, doi = {10.4230/LIPIcs.ITCS.2018.14}, annote = {Keywords: prediction market, information revelation, optimization} }
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