Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Statistical inference for individual fairness Subha Maity Songkai Xue Mikhail Yurochkin Yuekai Sun FaML 33 20 0 30 Mar 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 25 143 0 22 Mar 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 30 105 0 22 Mar 2021
Detecting Racial Bias in Jury Selection Jack Dunn Ying Daisy Zhuo 28 1 0 22 Mar 2021
Responsible AI: Gender bias assessment in emotion recognition Artem Domnich G. Anbarjafari 27 48 0 21 Mar 2021
Individually Fair Ranking Amanda Bower Hamid Eftekhari Mikhail Yurochkin Yuekai Sun FaML 21 11 0 19 Mar 2021
Hidden Technical Debts for Fair Machine Learning in Financial Services Chong Huang Arash Nourian Kevin Griest FaML 19 2 0 18 Mar 2021
Fairness-aware Outlier Ensemble Haoyu Liu Fenglong Ma Shibo He Jiming Chen Jing Gao 16 3 0 17 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern ... J. Simons Jonathan Tannen Edmund Tong Kate Vredenburgh Jiejing Zhao FaML 19 27 0 10 Mar 2021
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance J. Minot N. Cheney Marc E. Maier Danne C. Elbers C. Danforth P. Dodds FaML 28 3 0 10 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 157 0 25 Feb 2021
A Local Method for Identifying Causal Relations under Markov Equivalence Zhuangyan Fang Yue Liu Z. Geng Shengyu Zhu Yangbo He CML 25 13 0 25 Feb 2021
Directional Bias Amplification Angelina Wang Olga Russakovsky 22 66 0 24 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 43 318 0 22 Feb 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models Matej Zečević Devendra Singh Dhami Athresh Karanam S. Natarajan Kristian Kersting CML TPM 24 32 0 20 Feb 2021
Disentangled Representations from Non-Disentangled Models Valentin Khrulkov L. Mirvakhabova Ivan Oseledets Artem Babenko OCL DRL CoGe 36 15 0 11 Feb 2021
Fairness Through Regularization for Learning to Rank Nikola Konstantinov Christoph H. Lampert FaML 21 10 0 11 Feb 2021
A Ranking Approach to Fair Classification Jakob Schoeffer Niklas Kuehl Isabel Valera FaML 32 7 0 08 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 16 24 0 05 Feb 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 30 86 0 03 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 31 16 0 03 Feb 2021
Agent Incentives: A Causal Perspective Tom Everitt Ryan Carey Eric D. Langlois Pedro A. Ortega Shane Legg CML 19 53 0 02 Feb 2021
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness P. Lohia 32 6 0 31 Jan 2021
Counterfactual Planning in AGI Systems K. Holtman 24 3 0 29 Jan 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 96 51 0 05 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 36 145 0 01 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 33 18 0 17 Dec 2020
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 36 67 0 16 Dec 2020
Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches Ankani Chattoraj Rupam Acharyya Shouman Das Md. Iftekhar Tanveer E. Hoque 36 0 0 11 Dec 2020
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately Fereshte Khani Percy Liang FaML 21 65 0 07 Dec 2020
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 27 128 0 03 Dec 2020
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim Seungjae Shin Joonho Jang Kyungwoo Song Weonyoung Joo Wanmo Kang Il-Chul Moon BDL CML 22 56 0 24 Nov 2020
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests Jiang Zhang Ivan Beschastnikh Sergey Mechtaev Abhik Roychoudhury 14 8 0 22 Nov 2020
Shortcomings of Counterfactual Fairness and a Proposed Modification Fabian Beigang 19 0 0 14 Nov 2020
Metric-Free Individual Fairness with Cooperative Contextual Bandits Qian Hu Huzefa Rangwala FaML 29 10 0 13 Nov 2020
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 45 41 0 12 Nov 2020
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 38 110 0 07 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 77 671 0 06 Nov 2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models Tom Heskes E. Sijben I. G. Bucur Tom Claassen FAtt TDI 25 151 0 03 Nov 2020
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test Zicun Cong Lingyang Chu Yu Yang J. Pei 24 0 0 01 Nov 2020
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 47 16 0 31 Oct 2020
Inherent Trade-offs in the Fair Allocation of Treatments Yuzi He Keith Burghardt Siyi Guo Kristina Lerman FaML 16 5 0 30 Oct 2020
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 16 42 0 30 Oct 2020
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals Aida Mostafazadeh Davani Ali Omrani Brendan Kennedy M. Atari Xiang Ren Morteza Dehghani 24 7 0 24 Oct 2020
Algorithms for Causal Reasoning in Probability Trees Tim Genewein Tom McGrath Grégoire Delétang Vladimir Mikulik Miljan Martic Shane Legg Pedro A. Ortega TPM CML 31 16 0 23 Oct 2020
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 87 18 0 22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 28 164 0 20 Oct 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 25 84 0 19 Oct 2020