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 / 736 papers shown

Title
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 21 316 0 16 Dec 2019
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 17 303 0 14 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 14 381 0 11 Dec 2019
Group Fairness in Bandit Arm Selection Candice Schumann Zhi Lang Nicholas Mattei John P. Dickerson FaML 19 15 0 09 Dec 2019
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? Avrim Blum Kevin Stangl FaML 9 87 0 02 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 16 1,198 0 20 Nov 2019
Dynamic Modeling and Equilibria in Fair Decision Making Joshua H. Williams J. Zico Kolter FaML 19 14 0 15 Nov 2019
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness Zhu Li Adrián Pérez-Suay Gustau Camps-Valls Dino Sejdinovic FaML 10 21 0 11 Nov 2019
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness Mohammad Yaghini A. Krause Hoda Heidari FaML 11 21 0 08 Nov 2019
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning Michiel A. Bakker Duy Patrick Tu Humberto Riverón Valdés Krishna P. Gummadi Kush R. Varshney Adrian Weller Alex Pentland 15 5 0 30 Oct 2019
Learning Fair and Interpretable Representations via Linear Orthogonalization Yuzi He Keith Burghardt Kristina Lerman FaML 9 4 0 28 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 17 106 0 16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 16 180 0 14 Oct 2019
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives Bowen Yu Ye Yuan Loren G. Terveen Zhiwei Steven Wu Jodi Forlizzi Haiyi Zhu 17 2 0 07 Oct 2019
Group-based Fair Learning Leads to Counter-intuitive Predictions Ofir Nachum Heinrich Jiang FaML 17 2 0 04 Oct 2019
This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology D. Mulligan Joshua A. Kroll Nitin Kohli Richmond Y. Wong 11 72 0 26 Sep 2019
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 24 31 0 18 Sep 2019
Advancing subgroup fairness via sleeping experts Avrim Blum Thodoris Lykouris FedML 17 37 0 18 Sep 2019
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 33 136 0 14 Sep 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 18 10 0 09 Sep 2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness Arpita Biswas Siddharth Barman Amit Deshpande Amit Sharma 25 3 0 03 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 335 4,230 0 23 Aug 2019
Towards Reducing Biases in Combining Multiple Experts Online Yi Sun Iván Díaz Alfredo Cuesta-Infante K. Veeramachaneni FaML 28 0 0 19 Aug 2019
With Malice Towards None: Assessing Uncertainty via Equalized Coverage Yaniv Romano Rina Foygel Barber C. Sabatti Emmanuel J. Candès UQCV 21 73 0 15 Aug 2019
Fair quantile regression Dana Yang John D. Lafferty D. Pollard 18 6 0 19 Jul 2019
A Causal Bayesian Networks Viewpoint on Fairness Silvia Chiappa William S. Isaac FaML 20 62 0 15 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen R. Pfohl Tony Duan D. Ding N. Shah OOD CML 30 57 0 14 Jul 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 22 101 0 02 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 6 58 0 01 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 19 119 0 28 Jun 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 25 25 0 27 Jun 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 14 6 0 26 Jun 2019
The Cost of a Reductions Approach to Private Fair Optimization Daniel Alabi 41 3 0 23 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 24 93 0 21 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 542 0 21 Jun 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 28 212 0 19 Jun 2019
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao Jianfeng Chi Yuan Tian Geoffrey J. Gordon MIACV 24 2 0 19 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi P. Loiseau 20 18 0 15 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 30 345 0 11 Jun 2019
Equalized odds postprocessing under imperfect group information Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 22 89 0 07 Jun 2019
Fair Division Without Disparate Impact A. Peysakhovich Christian Kroer 30 10 0 06 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang L. V. D. van der Maaten 36 261 0 06 Jun 2019
Balanced Ranking with Diversity Constraints Ke Yang Vasilis Gkatzelis Julia Stoyanovich 14 69 0 04 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 24 155 0 01 Jun 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 19 96 0 01 Jun 2019
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction Boli Fang Miao Jiang Jerry Shen 14 2 0 01 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 24 15 0 31 May 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 24 242 0 30 May 2019
Efficient candidate screening under multiple tests and implications for fairness Lee Cohen Zachary Chase Lipton Yishay Mansour 21 32 0 27 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 11 20 0 26 May 2019