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Meike Zehlike
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2020 – today
- 2023
- [j4]Meike Zehlike
, Ke Yang
, Julia Stoyanovich
:
Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems. ACM Comput. Surv. 55(6): 117:1-117:41 (2023) - [j3]Meike Zehlike
, Ke Yang
, Julia Stoyanovich
:
Fairness in Ranking, Part I: Score-Based Ranking. ACM Comput. Surv. 55(6): 118:1-118:36 (2023) - [c8]Alex Loosley, Amrollah Seifoddini, Alessandro Canopoli, Meike Zehlike:
Body Measurement Prediction Fairness. EWAF 2023 - [c7]Julia Stoyanovich
, Meike Zehlike
, Ke Yang
:
Fairness in Ranking: From Values to Technical Choices and Back. SIGMOD Conference Companion 2023: 7-12 - [c6]Valeria Fionda
, Olaf Hartig
, Reyhaneh Abdolazimi
, Sihem Amer-Yahia, Hongzhi Chen
, Xiao Chen
, Peng Cui, Jeffrey Dalton
, Xin Luna Dong
, Lisette Espín-Noboa
, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei
, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas
, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang
, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang
, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [e1]José M. Álvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike:
Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. CEUR Workshop Proceedings 3442, CEUR-WS.org 2023 [contents] - 2022
- [b1]Meike Zehlike:
Fairness in Rankings. Humboldt University of Berlin, Germany, 2022 - [j2]Meike Zehlike, Tom Sühr
, Ricardo Baeza-Yates, Francesco Bonchi
, Carlos Castillo
, Sara Hajian:
Fair Top-k Ranking with multiple protected groups. Inf. Process. Manag. 59(1): 102707 (2022) - [c5]Gourab K. Patro, Lorenzo Porcaro
, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg:
Fair ranking: a critical review, challenges, and future directions. FAccT 2022: 1929-1942 - [p1]Meike Zehlike:
Fairness in Rankings. Ausgezeichnete Informatikdissertationen 2022: 311-320 - [i8]Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg:
Fair ranking: a critical review, challenges, and future directions. CoRR abs/2201.12662 (2022) - [i7]Meike Zehlike, Alex Loosley, Håkan Jonsson, Emil Wiedemann, Philipp Hacker:
Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law. CoRR abs/2212.00469 (2022) - 2021
- [i6]Meike Zehlike, Ke Yang, Julia Stoyanovich:
Fairness in Ranking: A Survey. CoRR abs/2103.14000 (2021) - 2020
- [j1]Meike Zehlike, Philipp Hacker, Emil Wiedemann:
Matching code and law: achieving algorithmic fairness with optimal transport. Data Min. Knowl. Discov. 34(1): 163-200 (2020) - [c4]Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski:
FairSearch: A Tool For Fairness in Ranked Search Results. WWW (Companion Volume) 2020: 172-175 - [c3]Meike Zehlike, Carlos Castillo:
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach. WWW 2020: 2849-2855 - [i5]Philipp Hacker, Emil Wiedemann, Meike Zehlike:
Towards a Flexible Framework for Algorithmic Fairness. CoRR abs/2010.07848 (2020) - [i4]Meike Zehlike, Tom Sühr, Carlos Castillo:
A Note on the Significance Adjustment for FA*IR with Two Protected Groups. CoRR abs/2012.12795 (2020)
2010 – 2019
- 2019
- [c2]Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi
, Abhijnan Chakraborty:
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. KDD 2019: 3082-3092 - [i3]Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski:
FairSearch: A Tool For Fairness in Ranked Search Results. CoRR abs/1905.13134 (2019) - 2018
- [i2]Meike Zehlike, Carlos Castillo:
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach. CoRR abs/1805.08716 (2018) - 2017
- [c1]Meike Zehlike, Francesco Bonchi, Carlos Castillo
, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates
:
FA*IR: A Fair Top-k Ranking Algorithm. CIKM 2017: 1569-1578 - [i1]Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates:
FA*IR: A Fair Top-k Ranking Algorithm. CoRR abs/1706.06368 (2017)
Coauthor Index
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