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1806.08010
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Fairness Without Demographics in Repeated Loss Minimization
20 June 2018
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Abigail Z. Jacobs
FaML
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Papers citing
"Fairness Without Demographics in Repeated Loss Minimization"
50 / 393 papers shown
FRAPPE: A Group Fairness Framework for Post-Processing Everything
International Conference on Machine Learning (ICML), 2023
Alexandru Tifrea
Preethi Lahoti
Ben Packer
Yoni Halpern
Ahmad Beirami
Flavien Prost
394
13
0
05 Dec 2023
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
Web Search and Data Mining (WSDM), 2023
Yuchang Zhu
Jintang Li
Liang Chen
Zibin Zheng
299
18
0
29 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective
International Conference on Climate Informatics (ICCI), 2023
Dave Mbiazi
Meghana Bhange
Maryam Babaei
Ivaxi Sheth
Patrik Kenfack
Samira Ebrahimi Kahou
415
9
0
28 Nov 2023
Designing Long-term Group Fair Policies in Dynamical Systems
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Miriam Rateike
Isabel Valera
Patrick Forré
310
6
0
21 Nov 2023
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng
Adarsh Subbaswamy
Alexej Gossmann
Harvineet Singh
B. Sahiner
Mi-Ok Kim
Gene Pennello
N. Petrick
Romain Pirracchio
Fan Xia
245
6
0
20 Nov 2023
Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective
Zhuotong Chen
Qianxiao Li
Zheng Zhang
FaML
143
1
0
16 Nov 2023
Outlier-Robust Wasserstein DRO
Neural Information Processing Systems (NeurIPS), 2023
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
298
19
0
09 Nov 2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing
Modar Sulaiman
Kallol Roy
219
0
0
06 Nov 2023
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System
International Conference on Cyber-Physical Systems (ICCPS), 2023
Tian Zhao
Salma Elmalaki
174
1
0
06 Nov 2023
Responsible AI (RAI) Games and Ensembles
Neural Information Processing Systems (NeurIPS), 2023
Yash Gupta
Runtian Zhai
A. Suggala
Pradeep Ravikumar
259
0
0
28 Oct 2023
Using Early Readouts to Mediate Featural Bias in Distillation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Rishabh Tiwari
D. Sivasubramanian
Anmol Reddy Mekala
Ganesh Ramakrishnan
Pradeep Shenoy
248
9
0
28 Oct 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
International Conference on Learning Representations (ICLR), 2023
Vincent Grari
Thibault Laugel
Tatsunori Hashimoto
Sylvain Lamprier
Marcin Detyniecki
284
6
0
27 Oct 2023
On the Interplay between Fairness and Explainability
Stephanie Brandl
Emanuele Bugliarello
Ilias Chalkidis
FaML
269
8
0
25 Oct 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
International Conference on Learning Representations (ICLR), 2023
Somnath Basu Roy Chowdhury
Nicholas Monath
Ahmad Beirami
Rahul Kidambi
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
363
3
0
17 Oct 2023
Mitigating Bias for Question Answering Models by Tracking Bias Influence
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Mingyu Derek Ma
Jiun-Yu Kao
Arpit Gupta
Yu-Hsiang Lin
Wenbo Zhao
Tagyoung Chung
Wei Wang
Kai-Wei Chang
Nanyun Peng
228
9
0
13 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Willie Neiswanger
240
7
0
09 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Subha Maity
Mayank Agarwal
Mikhail Yurochkin
Yuekai Sun
326
2
0
02 Oct 2023
PRIME: Prioritizing Interpretability in Failure Mode Extraction
International Conference on Learning Representations (ICLR), 2023
Keivan Rezaei
Mehrdad Saberi
Mazda Moayeri
Soheil Feizi
337
9
0
29 Sep 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
282
22
0
29 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Neural Information Processing Systems (NeurIPS), 2023
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
413
55
0
15 Sep 2023
Bias Propagation in Federated Learning
International Conference on Learning Representations (ICLR), 2023
Hong Chang
Reza Shokri
FedML
190
19
0
05 Sep 2023
Fairness in Ranking under Disparate Uncertainty
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Richa Rastogi
Thorsten Joachims
282
3
0
04 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
SN Computer Science (SCS), 2023
Filippo Galli
Kangsoo Jung
Sayan Biswas
C. Palamidessi
Tommaso Cucinotta
FedML
218
17
0
01 Sep 2023
Gender bias and stereotypes in Large Language Models
International Conference on Climate Informatics (ICCI), 2023
Hadas Kotek
Rikker Dockum
David Q. Sun
354
354
0
28 Aug 2023
A survey on bias in machine learning research
Agnieszka Mikołajczyk-Bareła
M. Grochowski
AI4CE
FaML
309
6
0
22 Aug 2023
Distributionally Robust Cross Subject EEG Decoding
European Conference on Artificial Intelligence (ECAI), 2023
Tiehang Duan
Zhenyi Wang
Gianfranco Doretto
Fang Li
Cui Tao
Don Adjeroh
147
3
0
19 Aug 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning
Neural Information Processing Systems (NeurIPS), 2023
Bo-Wei Huang
Keng-Te Liao
Chang-Sheng Kao
Shou-De Lin
OOD
168
5
0
17 Aug 2023
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem
Elena Gal
Shaun Singh
Aldo Pacchiano
Benjamin Walker
Terry Lyons
Jakob N. Foerster
FaML
186
0
0
15 Aug 2023
Fairness Under Demographic Scarce Regime
Patrik Kenfack
Samira Ebrahimi Kahou
Ulrich Aïvodji
221
7
0
24 Jul 2023
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems
Tian Zhao
Mojtaba Taherisadr
Salma Elmalaki
238
3
0
12 Jul 2023
Towards Assumption-free Bias Mitigation
Chia-Yuan Chang
Yu-Neng Chuang
Kwei-Herng Lai
Xiaotian Han
Helen Zhou
Na Zou
212
4
0
09 Jul 2023
When Fair Classification Meets Noisy Protected Attributes
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Avijit Ghosh
Pablo Kvitca
Chris L. Wilson
FaML
176
10
0
06 Jul 2023
Scaling Laws Do Not Scale
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Fernando Diaz
Michael A. Madaio
359
15
0
05 Jul 2023
Improving Fairness in Deepfake Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yan Ju
Shu Hu
Shan Jia
George H. Chen
Siwei Lyu
311
53
0
29 Jun 2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
Neural Information Processing Systems (NeurIPS), 2023
Meena Jagadeesan
Michael I. Jordan
Jacob Steinhardt
Nika Haghtalab
295
16
0
26 Jun 2023
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
Neural Information Processing Systems (NeurIPS), 2023
Elysia Q. Smyers
Sydney M. Katz
Anthony Corso
Mykel J. Kochenderfer
AAML
184
6
0
19 Jun 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
429
35
0
13 Jun 2023
Disentangling and Operationalizing AI Fairness at LinkedIn
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Joaquin Quiñonero Candela
Yuwen Wu
Brian Hsu
Sakshi Jain
Jennifer Ramos
Jon Adams
R. Hallman
Kinjal Basu
223
11
0
30 May 2023
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
M. Yang
Gloria Hyunjung Kwak
Tom Pollard
Leo Anthony Celi
Marzyeh Ghassemi
318
20
0
22 May 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Neural Information Processing Systems (NeurIPS), 2023
Sang Michael Xie
Hieu H. Pham
Xuanyi Dong
Nan Du
Hanxiao Liu
Yifeng Lu
Abigail Z. Jacobs
Quoc V. Le
Tengyu Ma
Adams Wei Yu
MoMe
MoE
545
278
0
17 May 2023
Algorithmic Censoring in Dynamic Learning Systems
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Jennifer Chien
Margaret E. Roberts
Berk Ustun
209
7
0
15 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Usman Gohar
Lu Cheng
FaML
266
58
0
11 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
231
33
0
10 May 2023
Ranking & Reweighting Improves Group Distributional Robustness
Yachuan Liu
Bohang Zhang
Qiaozhu Mei
Paramveer S. Dhillon
OOD
101
0
0
09 May 2023
Runtime Monitoring of Dynamic Fairness Properties
Conference on Fairness, Accountability and Transparency (FAccT), 2023
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
191
22
0
08 May 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
International Conference on Machine Learning (ICML), 2023
Weixin Liang
Yining Mao
Yongchan Kwon
Xinyu Yang
James Zou
OODD
242
7
0
04 May 2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Joshua Gardner
Renzhe Yu
Quan Nguyen
Christopher A. Brooks
René F. Kizilcec
FedML
194
20
0
01 May 2023
Earning Extra Performance from Restrictive Feedbacks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jing Li
Yuangang Pan
Yueming Lyu
Yinghua Yao
Yulei Sui
Ivor W. Tsang
163
3
0
28 Apr 2023
ExCalibR: Expected Calibration of Recommendations
Pannagadatta K. Shivaswamy
123
0
0
24 Apr 2023
On the Independence of Association Bias and Empirical Fairness in Language Models
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Laura Cabello
Anna Katrine van Zee
Anders Søgaard
190
36
0
20 Apr 2023
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