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Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

50 / 747 papers shown

Title
Algorithmic Decision Making with Conditional Fairness Renzhe Xu Peng Cui Kun Kuang Bo Li Linjun Zhou Zheyan Shen Wei Cui FaML 122 36 0 18 Jun 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 102 60 0 18 Jun 2020
Fair Hierarchical Clustering Sara Ahmadian Alessandro Epasto Marina Knittel Ravi Kumar Mohammad Mahdian Benjamin Moseley Philip Pham Sergei Vassilvtiskii Yuyan Wang FaML 84 47 0 18 Jun 2020
Socially Fair k-Means Clustering Mehrdad Ghadiri Samira Samadi Santosh Vempala FaML 71 2 0 17 Jun 2020
Learning Smooth and Fair Representations Xavier Gitiaux Huzefa Rangwala FaML 66 15 0 15 Jun 2020
On Adversarial Bias and the Robustness of Fair Machine Learning Hong Chang Ta Duy Nguyen S. K. Murakonda Ehsan Kazemi Reza Shokri FaML OOD FedML 68 51 0 15 Jun 2020
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility Sen Cui Weishen Pan Changshui Zhang Fei Wang 67 14 0 15 Jun 2020
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions Tesi Xiao Krishnakumar Balasubramanian Saeed Ghadimi 70 2 0 15 Jun 2020
Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi S. Jabbari Himabindu Lakkaraju P. Vayanos Max Izenberg Ryan Brown Eric Rice Milind Tambe 57 51 0 14 Jun 2020
Ethical Considerations for AI Researchers Kyle D. Dent FaML 18 2 0 13 Jun 2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability Sitan Chen Frederic Koehler Ankur Moitra Morris Yau 77 22 0 08 Jun 2020
Achieving Equalized Odds by Resampling Sensitive Attributes Yaniv Romano Stephen Bates Emmanuel J. Candès FaML 39 51 0 08 Jun 2020
Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia Nathan TeBlunthuis Benjamin Mako Hill Aaron L Halfaker 31 15 0 04 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 126 208 0 03 Jun 2020
What's Sex Got To Do With Fair Machine Learning? Lily Hu Issa Kohler-Hausmann FaML 72 82 0 02 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 71 40 0 26 May 2020
Fair Classification via Unconstrained Optimization Ibrahim Alabdulmohsin FaML 47 6 0 21 May 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 87 31 0 21 May 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 55 8 0 19 May 2020
Towards classification parity across cohorts Aarsh Patel Rahul Gupta Mukund Sridhar Satyapriya Krishna Aman Alok Peng Liu FaML 38 1 0 16 May 2020
Statistical Equity: A Fairness Classification Objective Ninareh Mehrabi Yuzhong Huang Fred Morstatter FaML 49 10 0 14 May 2020
Cyberbullying Detection with Fairness Constraints O. Gencoglu 96 49 0 09 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 212 383 0 09 May 2020
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 105 88 0 08 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 66 34 0 06 May 2020
Sample Complexity of Uniform Convergence for Multicalibration Eliran Shabat Lee Cohen Yishay Mansour FaML 75 28 0 04 May 2020
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 61 40 0 02 May 2020
Genetic programming approaches to learning fair classifiers William La Cava J. Moore FaML 62 19 0 28 Apr 2020
Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions Yuri Faenza Swati Gupta Aapeli Vuorinen Xuan Zhang 40 1 0 22 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 89 191 0 16 Apr 2020
Contrastive Examples for Addressing the Tyranny of the Majority V. Sharmanska Lisa Anne Hendricks Trevor Darrell Novi Quadrianto 72 29 0 14 Apr 2020
Individual Fairness in Pipelines Cynthia Dwork Christina Ilvento Meena Jagadeesan FaML 58 40 0 12 Apr 2020
FACT: A Diagnostic for Group Fairness Trade-offs Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 71 15 0 07 Apr 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability Cynthia Dwork Christina Ilvento G. Rothblum Pragya Sur FaML 81 8 0 04 Apr 2020
Bias in Machine Learning -- What is it Good for? Thomas Hellström Virginia Dignum Suna Bensch AI4CE FaML 18 3 0 01 Apr 2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 70 66 0 31 Mar 2020
Fair inference on error-prone outcomes L. Boeschoten E. V. Kesteren A. Bagheri Daniel L. Oberski 21 2 0 17 Mar 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt J. Blumenstock 43 23 0 15 Mar 2020
Learning Unbiased Representations via Mutual Information Backpropagation R. Ragonesi Riccardo Volpi Jacopo Cavazza Vittorio Murino FaML SSL 59 30 0 13 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 75 176 0 11 Mar 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 106 23 0 11 Mar 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 111 8 0 10 Mar 2020
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints Robin Vogel A. Bellet Stephan Clémençon FaML 76 12 0 19 Feb 2020
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 50 38 0 18 Feb 2020
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled? Claire Lazar Reich Suhas Vijaykumar FaML 73 19 0 18 Feb 2020
Individual Fairness for $k$ -Clustering S. Mahabadi A. Vakilian FaML 114 85 0 17 Feb 2020
Trustworthy AI Jeannette M. Wing 66 220 0 14 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 108 295 0 14 Feb 2020
Metric-Free Individual Fairness in Online Learning Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 120 50 0 13 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 126 23 0 12 Feb 2020