Fairness-Aware Classifier with Prejudice Remover Regularizer
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Jun Sakuma | Shotaro Akaho | Hideki Asoh | Toshihiro Kamishima | S. Akaho | H. Asoh | Jun Sakuma | Toshihiro Kamishima
[1] Saharon Rosset,et al. Leakage in data mining: formulation, detection, and avoidance , 2011, TKDD.
[2] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[3] Toon Calders,et al. Three naive Bayes approaches for discrimination-free classification , 2010, Data Mining and Knowledge Discovery.
[4] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.
[5] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.
[6] Toniann Pitassi,et al. Fairness through awareness , 2011, ITCS '12.
[7] A. Asuncion,et al. UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences , 2007 .
[8] Franco Turini,et al. DCUBE: discrimination discovery in databases , 2010, SIGMOD Conference.
[9] Daniel A. Keim,et al. On Knowledge Discovery and Data Mining , 1997 .
[10] Kobbi Nissim,et al. Private Data Analysis via Output Perturbation - A Rigorous Approach to Constructing Sanitizers and Privacy Preserving Algorithms , 2008, Privacy-Preserving Data Mining.
[11] Suresh Venkatasubramanian. Measures of Anonymity , 2008, Privacy-Preserving Data Mining.
[12] Toon Calders,et al. Discrimination Aware Decision Tree Learning , 2010, 2010 IEEE International Conference on Data Mining.
[13] Eli Pariser. FILTER BUBBLE: Wie wir im Internet entmündigt werden , 2012 .
[14] Toon Calders,et al. Handling Conditional Discrimination , 2011, 2011 IEEE 11th International Conference on Data Mining.
[15] Thomas Hofmann,et al. Non-redundant data clustering , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[16] Jun Sakuma,et al. Fairness-aware Learning through Regularization Approach , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[17] Franco Turini,et al. Discrimination-aware data mining , 2008, KDD.
[18] Qiang Yang,et al. Boosting for transfer learning , 2007, ICML '07.
[19] Franco Turini,et al. Measuring Discrimination in Socially-Sensitive Decision Records , 2009, SDM.
[20] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[21] Philip S. Yu,et al. Privacy-Preserving Data Mining - Models and Algorithms , 2008, Advances in Database Systems.
[22] Franco Turini,et al. k-NN as an implementation of situation testing for discrimination discovery and prevention , 2011, KDD.
[23] Charles Elkan,et al. The Foundations of Cost-Sensitive Learning , 2001, IJCAI.
[24] Eli Pariser,et al. The Filter Bubble: What the Internet Is Hiding from You , 2011 .