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Avoiding Discrimination through Causal Reasoning

Neural Information Processing Systems (NeurIPS), 2017

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 320 papers shown

Title
(Im)possibility of Collective Intelligence Krikamol Muandet 523 6 0 05 Jun 2022
Counterfactual Fairness with Partially Known Causal GraphNeural Information Processing Systems (NeurIPS), 2022 Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 156 22 0 27 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters B. Bischl 224 9 0 19 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trialsConference on Fairness, Accountability and Transparency (FAccT), 2022 Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 116 26 0 18 May 2022
What is Proxy Discrimination?Conference on Fairness, Accountability and Transparency (FAccT), 2022 Michael Carl Tschantz 204 23 0 11 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 217 160 0 06 May 2022
Assessing Dataset Bias in Computer Vision Athiya Deviyani CVBM 122 10 0 03 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 128 4 0 29 Apr 2022
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Takayuki Katsuki Kohei Miyaguchi Akira Koseki T. Iwamori Ryosuke Yanagiya Atsushi Suzuki AI4TS 130 4 0 28 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine SchedulingAlgorithmic Game Theory (AGT), 2022 April Niu Agnes Totschnig A. Vetta FaML 105 3 0 13 Apr 2022
Marrying Fairness and Explainability in Supervised LearningConference on Fairness, Accountability and Transparency (FAccT), 2022 Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 222 52 0 06 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 203 52 0 01 Apr 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal ViewAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Boxi Cao Hongyu Lin Xianpei Han Fangchao Liu Le Sun ELM AAML 123 44 0 23 Mar 2022
The price of unfairness in linear bandits with biased feedbackNeural Information Processing Systems (NeurIPS), 2022 Solenne Gaucher Alexandra Carpentier Christophe Giraud FaML 186 3 0 18 Mar 2022
The Long Arc of Fairness: Formalisations and Ethical DiscourseConference on Fairness, Accountability and Transparency (FAccT), 2022 Pola Schwöbel Peter Remmers 121 19 0 08 Mar 2022
Selection, Ignorability and Challenges With Causal FairnessCLEaR (CLEaR), 2022 Jake Fawkes R. Evans Dino Sejdinovic 256 21 0 28 Feb 2022
Fast Feature Selection with Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 207 4 0 28 Feb 2022
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental StudyJournal of Medical Internet Research (JMIR), 2021 Claire Woodcock Brent Mittelstadt Dan Busbridge Grant Blank 163 30 0 27 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data PreprocessingJournal of the American Statistical Association (JASA), 2022 Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 125 6 0 25 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced UnfairnessAAAI Conference on Artificial Intelligence (AAAI), 2022 Carolyn Ashurst Ryan Carey Silvia Chiappa Tom Everitt FaML 214 17 0 22 Feb 2022
Stochastic Causal Programming for Bounding Treatment EffectsCLEaR (CLEaR), 2022 Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 264 27 0 22 Feb 2022
Regulatory Instruments for Fair Personalized PricingThe Web Conference (WWW), 2022 Renzhe Xu Xingxuan Zhang Pengbi Cui Yangqiu Song Zheyan Shen Jiazheng Xu 230 16 0 09 Feb 2022
Counterfactual Multi-Token Fairness in Text Classification P. Lohia 137 3 0 08 Feb 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 297 11 0 26 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 105 7 0 13 Jan 2022
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 240 66 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 344 443 0 13 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 135 45 0 10 Dec 2021
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving Lei Ding Dengdeng Yu Jinhan Xie Wenxing Guo Shenggang Hu Meichen Liu Linglong Kong Hongsheng Dai Yanchun Bao Bei Jiang FaML 184 34 0 09 Dec 2021
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 325 15 0 24 Nov 2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition ModelsBritish Machine Vision Conference (BMVC), 2021 Arvindkumar Krishnakumar Tong He Shengji Tang Judy Hoffman 129 34 0 29 Oct 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 159 71 0 27 Oct 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative NetworksNeural Information Processing Systems (NeurIPS), 2021 A. Saha Trent Kyono J. Linmans M. Schaar CML 193 138 0 25 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 75 16 0 19 Oct 2021
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 230 36 0 03 Oct 2021
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making Jianlong Zhou Sunny Verma Mudit Mittal Fang Chen FaML 91 16 0 29 Sep 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 247 29 0 18 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudKnowledge Discovery and Data Mining (KDD), 2021 Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 108 50 0 07 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 300 287 0 02 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesConference on Fairness, Accountability and Transparency (FAccT), 2021 Alan Mishler Edward H. Kennedy FaML 159 23 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Tianyu Wang Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 424 625 0 31 Aug 2021
Fair Decision-Making for Food InspectionsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2021 Shubham Singh Bhuvni Shah Chris Kanich Ian A. Kash 158 12 0 12 Aug 2021
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path DecompositionKnowledge Discovery and Data Mining (KDD), 2021 Weishen Pan Sen Cui Jiang Bian Changshui Zhang Haiwei Yang CML FaML 218 39 0 11 Aug 2021
Fairness Through Counterfactual UtilitiesJournal of Artificial Intelligence Research (JAIR), 2021 Jack Blandin Ian A. Kash FaML 217 2 0 11 Aug 2021
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping L. Kondmann Xiao Xiang Zhu 94 7 0 04 Aug 2021
Fairness in Ranking under UncertaintyNeural Information Processing Systems (NeurIPS), 2021 Ashudeep Singh David Kempe Thorsten Joachims 217 53 0 14 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Shucheng Zhou FaML 332 252 0 12 Jul 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 233 13 0 01 Jul 2021
Doing good by fighting fraud: Ethical anti-fraud systems for mobile paymentsIEEE Symposium on Security and Privacy (IEEE S&P), 2021 Z. Din Hari Venugopalan Henry Lin Adam Wushensky Steven Liu Samuel T. King 142 6 0 28 Jun 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 219 85 0 23 Jun 2021