Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 32 80 0 19 Aug 2021
Identifying Biased Subgroups in Ranking and Classification Eliana Pastor Luca de Alfaro Elena Baralis CML 21 11 0 17 Aug 2021
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition Weishen Pan Sen Cui Jiang Bian Changshui Zhang Fei Wang CML FaML 27 33 0 11 Aug 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 38 2 0 11 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 36 118 0 11 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 66 11 0 10 Aug 2021
Reducing Unintended Bias of ML Models on Tabular and Textual Data Guilherme Alves M. Amblard Fabien Bernier Miguel Couceiro A. Napoli FaML 19 15 0 05 Aug 2021
Improving Counterfactual Generation for Fair Hate Speech Detection Aida Mostafazadeh Davani Ali Omrani Brendan Kennedy M. Atari Xiang Ren Morteza Dehghani 30 9 0 03 Aug 2021
Adaptation and Generalization for Unknown Sensitive Factors of Variations William Paul Philippe Burlina AAML 33 0 0 28 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 25 4 0 21 Jul 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 35 49 0 14 Jul 2021
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement Umang Bhatt Isabel Chien Muhammad Bilal Zafar Adrian Weller TDI 19 5 0 13 Jul 2021
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses Keegan Harris Daniel Ngo Logan Stapleton Hoda Heidari Zhiwei Steven Wu 22 31 0 12 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Evaluating subgroup disparity using epistemic uncertainty in mammography Charles Lu A. Lemay K. Hoebel Jayashree Kalpathy-Cramer UQCV UD 19 11 0 06 Jul 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 42 13 0 01 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 28 0 0 29 Jun 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 23 104 0 28 Jun 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 30 78 0 23 Jun 2021
User Acceptance of Gender Stereotypes in Automated Career Recommendations Clarice Wang Kathryn Wang Andrew Bian Rashidul Islam Kamrun Naher Keya James Foulde Shimei Pan FaML 25 7 0 13 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
DORO: Distributional and Outlier Robust Optimization Runtian Zhai Chen Dan J. Zico Kolter Pradeep Ravikumar 33 60 0 11 Jun 2021
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft Athanasios Vlontzos Gabriel Sutherland Siddha Ganju Frank Soboczenski 24 2 0 10 Jun 2021
Subgroup Fairness in Two-Sided Markets Quan-Gen Zhou Jakub Mareˇcek Robert Shorten 27 2 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 40 93 0 03 Jun 2021
Causality in Neural Networks -- An Extended Abstract Abbavaram Gowtham Reddy CML OOD 11 1 0 03 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 26 112 0 02 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation C. Chang George Adam Anna Goldenberg OOD CML 29 32 0 02 Jun 2021
Information Theoretic Measures for Fairness-aware Feature Selection S. Khodadadian M. Nafea AmirEmad Ghassami Negar Kiyavash 22 8 0 01 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 17 182 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 17 0 0 31 May 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 24 91 0 31 May 2021
Fair Feature Distillation for Visual Recognition S. Jung Donggyu Lee Taeeon Park Taesup Moon 27 75 0 27 May 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 29 142 0 20 May 2021
Causal Inference in medicine and in health policy, a summary Wenhao Zhang Ramin Ramezani A. Naeim CML OOD 17 6 0 10 May 2021
AutoDebias: Learning to Debias for Recommendation Jiawei Chen Hande Dong Yang Qiu Xiangnan He Xin Xin Liang Chen Guli Lin Keping Yang CML 32 200 0 10 May 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification Haochen Liu Wei Jin Hamid Karimi Zitao Liu Jiliang Tang 8 30 0 06 May 2021
Mitigating Political Bias in Language Models Through Reinforced Calibration Ruibo Liu Chenyan Jia Jason W. Wei Guangxuan Xu Lili Wang Soroush Vosoughi 33 97 0 30 Apr 2021
Discover the Unknown Biased Attribute of an Image Classifier Zhiheng Li Chenliang Xu 40 50 0 29 Apr 2021
Online certification of preference-based fairness for personalized recommender systems Virginie Do S. Corbett-Davies Jamal Atif Nicolas Usunier FaML MLAU 4 41 0 29 Apr 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 41 81 0 29 Apr 2021
Algorithmic Factors Influencing Bias in Machine Learning William Blanzeisky Padraig Cunningham FaML 11 21 0 28 Apr 2021
Geographic ratemaking with spatial embeddings Christopher Blier-Wong Hélène Cossette Luc Lamontagne Etienne Marceau 26 5 0 26 Apr 2021
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 85 13 0 25 Apr 2021
I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews James OÑeill Polina Rozenshtein Ryuichi Kiryo Motoko Kubota Danushka Bollegala 32 26 0 14 Apr 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation Chong Zhang Jieyu Zhao Huan Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 27 10 0 12 Apr 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations Archit Rathore Sunipa Dev J. M. Phillips Vivek Srikumar Yan Zheng Chin-Chia Michael Yeh Junpeng Wang Wei Zhang Bei Wang 43 10 0 06 Apr 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors J. Pfau A. Young Jerome Wei Maria L. Wei Michael J. Keiser FAtt 39 14 0 06 Apr 2021
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning Tal Feldman Ashley Peake FaML 21 14 0 06 Apr 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Jianmin Wang M. Mahdavi FaML 13 11 0 04 Apr 2021