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
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 39 46 0 27 Oct 2020
The Pursuit of Algorithmic Fairness: On "Correcting" Algorithmic Unfairness in a Child Welfare Reunification Success Classifier Jordan Purdy B. Glass FaML 25 5 0 22 Oct 2020
Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research A. Feder Cooper 15 7 0 20 Oct 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 39 45 0 19 Oct 2020
Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice Andrii Babii Xi Chen Eric Ghysels Rohit Kumar FaML 19 10 0 16 Oct 2020
Explainability for fair machine learning T. Begley Tobias Schwedes Christopher Frye Ilya Feige FaML FedML 14 47 0 14 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 27 26 0 14 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 26 56 0 12 Oct 2020
Representativity Fairness in Clustering Deepak P Savitha Sam Abraham FaML 8 14 0 11 Oct 2020
CryptoCredit: Securely Training Fair Models Leo de Castro Jiahao Chen Antigoni Polychroniadou 38 3 0 09 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 32 616 0 04 Oct 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets Lequn Wang Thorsten Joachims FaML 11 59 0 04 Oct 2020
On Statistical Discrimination as a Failure of Social Learning: A Multi-Armed Bandit Approach Junpei Komiyama Shunya Noda 6 5 0 02 Oct 2020
Legally grounded fairness objectives Dylan Holden-Sim Gavin Leech Laurence Aitchison AILaw FaML 30 0 0 24 Sep 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 11 52 0 23 Sep 2020
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data Catherine Ordun Edward Raff S. Purushotham 26 13 0 22 Sep 2020
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition Tomás Sixta Julio C. S. Jacques Junior Pau Buch-Cardona Neil M. Robertson E. Vazquez Sergio Escalera CVBM 33 34 0 16 Sep 2020
Fairness in the Eyes of the Data: Certifying Machine-Learning Models Shahar Segal Yossi Adi Benny Pinkas Carsten Baum C. Ganesh Joseph Keshet FedML 19 34 0 03 Sep 2020
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets R. Berk Arun K. Kuchibhotla 8 5 0 26 Aug 2020
Towards Guidelines for Assessing Qualities of Machine Learning Systems Julien Siebert Lisa Joeckel J. Heidrich K. Nakamichi Kyoko Ohashi I. Namba Rieko Yamamoto M. Aoyama 33 47 0 25 Aug 2020
Beyond Individual and Group Fairness Pranjal Awasthi Corinna Cortes Yishay Mansour M. Mohri FaML 23 22 0 21 Aug 2020
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar Dimitris Tsipras A. Madry OOD 21 168 0 11 Aug 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li D. Song Jacob Steinhardt 63 522 0 05 Aug 2020
Fairness-Aware Online Personalization G. R. Lal S. Geyik K. Kenthapadi FaML 8 3 0 30 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications Sayan Bandyapadhyay F. Fomin Kirill Simonov 28 42 0 20 Jul 2020
On Controllability of AI Roman V. Yampolskiy 21 14 0 19 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020
The Impossibility Theorem of Machine Fairness -- A Causal Perspective Kailash Karthik FaML 20 24 0 12 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 120 0 10 Jul 2020
Transparency Tools for Fairness in AI (Luskin) Mingliang Chen Aria Shahverdi S. I. G. Anderson Se Yong Park Justin Zhang Dana Dachman-Soled Kristin E. Lauter Min Wu 7 2 0 09 Jul 2020
Fairness constraints can help exact inference in structured prediction Kevin Bello Jean Honorio 9 6 0 01 Jul 2020
Evaluation of Fairness Trade-offs in Predicting Student Success Hansol Lee René F. Kizilcec 8 29 0 30 Jun 2020
Machine learning fairness notions: Bridging the gap with real-world applications K. Makhlouf Sami Zhioua C. Palamidessi FaML 11 53 0 30 Jun 2020
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness Mikhail Yurochkin Yuekai Sun FaML 17 49 0 25 Jun 2020
Fair Performance Metric Elicitation G. Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 32 18 0 23 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 26 96 0 19 Jun 2020
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 31 86 0 19 Jun 2020
Algorithmic Decision Making with Conditional Fairness Renzhe Xu Peng Cui Kun Kuang Bo Li Linjun Zhou Zheyan Shen Wei Cui FaML 23 36 0 18 Jun 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 16 57 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 19 45 0 18 Jun 2020
Socially Fair k-Means Clustering Mehrdad Ghadiri Samira Samadi Santosh Vempala FaML 20 2 0 17 Jun 2020
Learning Smooth and Fair Representations Xavier Gitiaux Huzefa Rangwala FaML 29 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 16 50 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 20 13 0 15 Jun 2020
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions Tesi Xiao Krishnakumar Balasubramanian Saeed Ghadimi 23 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 31 47 0 14 Jun 2020
Ethical Considerations for AI Researchers Kyle D. Dent FaML 11 2 0 13 Jun 2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability Sitan Chen Frederic Koehler Ankur Moitra Morris Yau 26 21 0 08 Jun 2020
Achieving Equalized Odds by Resampling Sensitive Attributes Yaniv Romano Stephen Bates Emmanuel J. Candès FaML 8 48 0 08 Jun 2020