Published in: LIPIcs, Volume 329, 6th Symposium on Foundations of Responsible Computing (FORC 2025)
Aravind Gollakota, Parikshit Gopalan, Aayush Karan, Charlotte Peale, and Udi Wieder. When Does a Predictor Know Its Own Loss?. In 6th Symposium on Foundations of Responsible Computing (FORC 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 329, pp. 22:1-22:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
@InProceedings{gollakota_et_al:LIPIcs.FORC.2025.22, author = {Gollakota, Aravind and Gopalan, Parikshit and Karan, Aayush and Peale, Charlotte and Wieder, Udi}, title = {{When Does a Predictor Know Its Own Loss?}}, booktitle = {6th Symposium on Foundations of Responsible Computing (FORC 2025)}, pages = {22:1--22:22}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-367-6}, ISSN = {1868-8969}, year = {2025}, volume = {329}, editor = {Bun, Mark}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2025.22}, URN = {urn:nbn:de:0030-drops-231490}, doi = {10.4230/LIPIcs.FORC.2025.22}, annote = {Keywords: loss prediction, multicalibration, active learning, algorithmic fairness, calibration, predictive uncertainty, uncertainty estimation, machine learning theory} }
Published in: LIPIcs, Volume 256, 4th Symposium on Foundations of Responsible Computing (FORC 2023)
Inbal Livni Navon, Charlotte Peale, Omer Reingold, and Judy Hanwen Shen. Bidding Strategies for Proportional Representation in Advertisement Campaigns. In 4th Symposium on Foundations of Responsible Computing (FORC 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 256, pp. 3:1-3:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{navon_et_al:LIPIcs.FORC.2023.3, author = {Navon, Inbal Livni and Peale, Charlotte and Reingold, Omer and Shen, Judy Hanwen}, title = {{Bidding Strategies for Proportional Representation in Advertisement Campaigns}}, booktitle = {4th Symposium on Foundations of Responsible Computing (FORC 2023)}, pages = {3:1--3:22}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-272-3}, ISSN = {1868-8969}, year = {2023}, volume = {256}, editor = {Talwar, Kunal}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2023.3}, URN = {urn:nbn:de:0030-drops-179245}, doi = {10.4230/LIPIcs.FORC.2023.3}, annote = {Keywords: Algorithmic fairness, diversity, advertisement auctions} }
Published in: LIPIcs, Volume 251, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023)
Lunjia Hu and Charlotte Peale. Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes. In 14th Innovations in Theoretical Computer Science Conference (ITCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 251, pp. 72:1-72:30, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{hu_et_al:LIPIcs.ITCS.2023.72, author = {Hu, Lunjia and Peale, Charlotte}, title = {{Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes}}, booktitle = {14th Innovations in Theoretical Computer Science Conference (ITCS 2023)}, pages = {72:1--72:30}, 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.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2023.72}, URN = {urn:nbn:de:0030-drops-175752}, doi = {10.4230/LIPIcs.ITCS.2023.72}, annote = {Keywords: Comparative learning, mutual VC dimension, realizable multiaccuracy and multicalibration, sample complexity} }
Published in: LIPIcs, Volume 218, 3rd Symposium on Foundations of Responsible Computing (FORC 2022)
Monika Henzinger, Charlotte Peale, Omer Reingold, and Judy Hanwen Shen. Leximax Approximations and Representative Cohort Selection. In 3rd Symposium on Foundations of Responsible Computing (FORC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 218, pp. 2:1-2:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
@InProceedings{henzinger_et_al:LIPIcs.FORC.2022.2, author = {Henzinger, Monika and Peale, Charlotte and Reingold, Omer and Shen, Judy Hanwen}, title = {{Leximax Approximations and Representative Cohort Selection}}, booktitle = {3rd Symposium on Foundations of Responsible Computing (FORC 2022)}, pages = {2:1--2:22}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-226-6}, ISSN = {1868-8969}, year = {2022}, volume = {218}, editor = {Celis, L. Elisa}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2022.2}, URN = {urn:nbn:de:0030-drops-165258}, doi = {10.4230/LIPIcs.FORC.2022.2}, annote = {Keywords: fairness, cohort selection, leximin, maxmin} }
Published in: LIPIcs, Volume 156, 1st Symposium on Foundations of Responsible Computing (FORC 2020)
Katrina Ligett, Charlotte Peale, and Omer Reingold. Bounded-Leakage Differential Privacy. In 1st Symposium on Foundations of Responsible Computing (FORC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 156, pp. 10:1-10:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
@InProceedings{ligett_et_al:LIPIcs.FORC.2020.10, author = {Ligett, Katrina and Peale, Charlotte and Reingold, Omer}, title = {{Bounded-Leakage Differential Privacy}}, booktitle = {1st Symposium on Foundations of Responsible Computing (FORC 2020)}, pages = {10:1--10:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-142-9}, ISSN = {1868-8969}, year = {2020}, volume = {156}, editor = {Roth, Aaron}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2020.10}, URN = {urn:nbn:de:0030-drops-120265}, doi = {10.4230/LIPIcs.FORC.2020.10}, annote = {Keywords: differential privacy, applications, privacy, leakage, auxiliary information} }
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