Retiring Adult: New Datasets for Fair Machine Learning

10 August 2021

Papers citing "Retiring Adult: New Datasets for Fair Machine Learning"

50 / 286 papers shown

Title
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 31 102 0 18 Jan 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre L. Dognin Kush R. Varshney FaML 14 28 0 13 Dec 2022
Leveraging Structure for Improved Classification of Grouped Biased Data Daniel Zeiberg Shantanu Jain P. Radivojac 11 2 0 07 Dec 2022
Certifying Fairness of Probabilistic Circuits Nikil Selvam Guy Van den Broeck YooJung Choi FaML TPM 11 6 0 05 Dec 2022
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Rishi Bommasani Kathleen A. Creel Ananya Kumar Dan Jurafsky Percy Liang 11 76 0 25 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 12 31 0 24 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 11 22 0 23 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 13 3 0 14 Nov 2022
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics Travis Dick Cynthia Dwork Michael Kearns Terrance Liu Aaron Roth G. Vietri Zhiwei Steven Wu 11 29 0 06 Nov 2022
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 8 30 0 03 Nov 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 10 17 0 28 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 22 1 0 25 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors Kristy Choi Chris Cundy Sanjari Srivastava Stefano Ermon BDL 48 35 0 22 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 19 10 0 17 Oct 2022
Stochastic Differentially Private and Fair Learning Andrew Lowy Devansh Gupta Meisam Razaviyayn FaML FedML 9 13 0 17 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 41 10 0 13 Oct 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact Ozgur Guldogan Yuchen Zeng Jy-yong Sohn Ramtin Pedarsani Kangwook Lee FaML 8 12 0 13 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 13 5 0 10 Oct 2022
Why Random Pruning Is All We Need to Start Sparse Advait Gadhikar Sohom Mukherjee R. Burkholz 12 18 0 05 Oct 2022
Frequency Estimation of Evolving Data Under Local Differential Privacy Héber H. Arcolezi Carlos Pinzón C. Palamidessi Sébastien Gambs 20 12 0 01 Oct 2022
Batch Multivalid Conformal Prediction Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 58 48 0 30 Sep 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen Matei A. Zaharia James Y. Zou 13 15 0 18 Sep 2022
FairGBM: Gradient Boosting with Fairness Constraints André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 11 22 0 16 Sep 2022
Private Synthetic Data for Multitask Learning and Marginal Queries G. Vietri Cédric Archambeau Sergul Aydore William Brown Michael Kearns Aaron Roth Ankit Siva Shuai Tang Zhiwei Steven Wu SyDa 17 29 0 15 Sep 2022
Multicalibrated Regression for Downstream Fairness Ira Globus-Harris Varun Gupta Christopher Jung Michael Kearns Jamie Morgenstern Aaron Roth FaML 45 11 0 15 Sep 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 53 33 0 08 Sep 2022
Black-Box Audits for Group Distribution Shifts Marc Juárez Samuel Yeom Matt Fredrikson MLAU 11 4 0 08 Sep 2022
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy Héber H. Arcolezi Sébastien Gambs Jean-François Couchot C. Palamidessi 13 12 0 04 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 16 14 0 02 Sep 2022
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions Leonidas Tsepenekas Ivan Brugere Freddy Lecue Daniele Magazzeni 8 1 0 26 Aug 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy Lucas Rosenblatt Bernease Herman Anastasia Holovenko Wonkwon Lee Joshua R. Loftus Elizabeth McKinnie Taras Rumezhak Andrii Stadnik Bill Howe Julia Stoyanovich 16 5 0 26 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all? Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 17 10 0 24 Aug 2022
Evaluation of group fairness measures in student performance prediction problems Tai Le Quy Thi-Huyen Nguyen Gunnar Friege Eirini Ntoutsi 17 7 0 22 Aug 2022
Anticipating Performativity by Predicting from Predictions Celestine Mendler-Dünner Frances Ding Yixin Wang 19 30 0 15 Aug 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti P. Yi Jeremias Sulam 6 4 0 25 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 26 8 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 26 159 0 14 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 34 2 0 11 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 35 11 0 04 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 14 31 0 26 Jun 2022
Context matters for fairness -- a case study on the effect of spatial distribution shifts Siamak Ghodsi Harith Alani Eirini Ntoutsi 7 2 0 23 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 19 11 0 22 Jun 2022
Learning to Teach Fairness-aware Deep Multi-task Learning Arjun Roy Eirini Ntoutsi 17 7 0 16 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction Wael Alghamdi Hsiang Hsu Haewon Jeong Hao Wang P. Michalák S. Asoodeh Flavio du Pin Calmon FaML 21 16 0 15 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 12 10 0 14 Jun 2022
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions L. R. Lucchesi Petra Kuhnert Jenny L. Davis Lexing Xie 12 10 0 10 Jun 2022
Certifying Data-Bias Robustness in Linear Regression Anna P. Meyer Aws Albarghouthi Loris Dántoni 21 3 0 07 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 11 8 0 07 Jun 2022
Enhancing Distributional Stability among Sub-populations Jiashuo Liu Jiayun Wu Jie Peng Xiaoyu Wu Zheyan Shen B. Li Peng Cui OOD 18 2 0 07 Jun 2022
Emergent specialization from participation dynamics and multi-learner retraining Sarah Dean Mihaela Curmei Lillian J. Ratliff Jamie Morgenstern Maryam Fazel 11 5 0 06 Jun 2022