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Fair Inference On Outcomes

29 May 2017

Papers citing "Fair Inference On Outcomes"

50 / 124 papers shown

Title
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach Khadija Zanna Akane Sano 24 0 0 13 Jun 2025
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Mihaela van der Schaar Stefan Feuerriegel CML 63 0 0 19 May 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 558 1 0 28 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 155 0 0 17 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 217 0 0 10 Jan 2025
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 102 1 0 10 Oct 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 124 4 0 10 Jun 2024
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms Hilde Weerts Aislinn Kelly-Lyth Reuben Binns Jeremias Adams-Prassl 64 2 0 22 Apr 2024
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations Phanideep Gampa Farnoosh Javadi Belhassen Bayar Ainur Yessenalina 98 0 0 25 Sep 2023
Causal Fairness for Outcome Control Drago Plečko Elias Bareinboim 51 7 0 08 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 89 7 0 06 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 109 0 0 01 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 86 3 0 17 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 95 26 0 14 Feb 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 83 8 0 18 Jan 2023
Reasoning about Causality in Games Lewis Hammond James Fox Tom Everitt Ryan Carey Alessandro Abate Michael Wooldridge LRM AI4CE 77 16 0 05 Jan 2023
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 79 7 0 20 Dec 2022
Certifying Fairness of Probabilistic Circuits Nikil Selvam Guy Van den Broeck YooJung Choi FaML TPM 58 6 0 05 Dec 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 65 8 0 12 Nov 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 47 1 0 12 Oct 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning Siqi Xu Lin Liu Zhong Liu CML MedIm 67 9 0 10 Oct 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 102 12 0 20 Sep 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 155 7 0 19 Aug 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 111 14 0 13 Aug 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 126 45 0 22 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 118 10 0 20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 113 177 0 14 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 199 46 0 12 Jul 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 47 5 0 16 Jun 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 78 18 0 14 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 261 6 0 05 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 65 19 0 27 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 80 24 0 11 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 67 3 0 13 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 72 22 0 04 Apr 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 163 19 0 28 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 69 6 0 25 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst Ryan Carey Silvia Chiappa Tom Everitt FaML 98 15 0 22 Feb 2022
Causal Explanations and XAI Sander Beckers CML XAI 81 36 0 31 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 162 8 0 26 Jan 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 103 64 0 21 Dec 2021
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 93 57 0 17 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 83 351 0 13 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 79 36 0 04 Nov 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 77 65 0 27 Oct 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 92 111 0 25 Oct 2021
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making Jianlong Zhou Sunny Verma Mudit Mittal Fang Chen FaML 53 10 0 29 Sep 2021
Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 65 21 0 20 Sep 2021