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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
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247
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Describing Differences between Text Distributions with Natural Language
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Charles Burton Snell
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Understanding Why Generalized Reweighting Does Not Improve Over ERM
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Runtian Zhai
Chen Dan
Zico Kolter
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492
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Towards Group Robustness in the presence of Partial Group Labels
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Kihyuk Sohn
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Tomas Pfister
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187
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Distributionally Robust Group Backwards Compatibility
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149
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Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
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447
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The Effect of Model Size on Worst-Group Generalization
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Eunice Chan
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Yaodong Yu
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Joseph E. Gonzalez
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163
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Neural Pseudo-Label Optimism for the Bank Loan Problem
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Aldo Pacchiano
Shaun Singh
Edward Chou
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Jakob N. Foerster
123
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Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
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Robert J. Gray
M. Jorge Cardoso
Sebastien Ourselin
G. Rees
John Ashburner
P. Nachev
231
47
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29 Nov 2021
Learning Fair Classifiers with Partially Annotated Group Labels
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Sanghyuk Chun
Taesup Moon
272
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Towards Principled Disentanglement for Domain Generalization
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Yi-Fan Zhang
Weiyang Liu
Adrian Weller
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Eric Xing
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401
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Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment
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Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
186
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Towards Return Parity in Markov Decision Processes
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Jianfeng Chi
Jian Shen
Xinyi Dai
Weinan Zhang
Yuan Tian
Han Zhao
150
15
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19 Nov 2021
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics
A. Miroshnikov
Konstandinos Kotsiopoulos
Ryan Franks
Arjun Ravi Kannan
129
5
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19 Nov 2021
Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification
Jared Mowery
68
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Modeling Techniques for Machine Learning Fairness: A Survey
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Daochen Zha
Ninghao Liu
Na Zou
SyDa
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289
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Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
182
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Muhammad Mustansar Saeed
Mahad Ali
Z. Qazi
I. Qazi
FedML
191
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Boosted CVaR Classification
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Chen Dan
A. Suggala
Zico Kolter
Pradeep Ravikumar
197
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Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
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Jikai Jin
Samir Bhatt
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328
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Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
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Bhaskar Mitra
Catherine Stinson
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183
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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
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Zhaowei Zhu
Tianyi Luo
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537
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A Survey of Learning Criteria Going Beyond the Usual Risk
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Kazuki Tanabe
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342
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Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
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Seong Joon Oh
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205
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Adversarial Regression with Doubly Non-negative Weighting Matrices
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Truyen V. Nguyen
M. Yamada
Jose H. Blanchet
Viet Anh Nguyen
216
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30 Sep 2021
A Sociotechnical View of Algorithmic Fairness
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Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
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204
118
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27 Sep 2021
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach
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Andrea Esuli
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Fabrizio Sebastiani
371
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On Language Models for Creoles
Heather Lent
Emanuele Bugliarello
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Chen Qiu
Anders Søgaard
215
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13 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning
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Lanjun Wang
Yanjie Dong
Jian Pei
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Yong Zhang
FedML
181
39
0
13 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder
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Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
126
36
0
10 Sep 2021
Distributionally Robust Multilingual Machine Translation
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Chunting Zhou
Daniel Levy
Xian Li
Marjan Ghazvininejad
Graham Neubig
213
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09 Sep 2021
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Zheyan Shen
Yue He
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Peng Cui
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521
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31 Aug 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
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Masoud Monajatipoor
Anaelia Ovalle
Arjun Subramonian
J. M. Phillips
Kai-Wei Chang
324
196
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27 Aug 2021
Estimation of Fair Ranking Metrics with Incomplete Judgments
The Web Conference (WWW), 2021
Ömer Kirnap
Fernando Diaz
Asia J. Biega
Michael D. Ekstrand
Ben Carterette
Emine Yilmaz
228
40
0
11 Aug 2021
Fairness Properties of Face Recognition and Obfuscation Systems
USENIX Security Symposium (USENIX Security), 2021
Harrison Rosenberg
Brian Tang
Kassem Fawaz
S. Jha
PICV
167
18
0
05 Aug 2021
Adapting to Function Difficulty and Growth Conditions in Private Optimization
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Hilal Asi
Daniel Levy
John C. Duchi
156
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A Tale Of Two Long Tails
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Zach Nussbaum
Chirag Agarwal
Sara Hooker
175
24
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Preventing dataset shift from breaking machine-learning biomarkers
Jéroome Dockes
Gaël Varoquaux
J B Poline
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144
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21 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information
International Conference on Machine Learning (ICML), 2021
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Abigail Z. Jacobs
Chelsea Finn
OOD
345
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19 Jul 2021
A Field Guide to Federated Optimization
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Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
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Tong Zhang
Chunxiang Zheng
Chen Zhu
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FedML
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The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
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Jason dÉon
J. R. Wright
Kevin Leyton-Brown
185
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Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
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371
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197
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Examining and Combating Spurious Features under Distribution Shift
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Xuezhe Ma
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181
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Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient
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162
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Robust Representation Learning via Perceptual Similarity Metrics
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Amir Khasahmadi
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131
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International Conference on Machine Learning (ICML), 2021
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Chen Dan
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142
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Fair Classification with Adversarial Perturbations
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FaML
256
33
0
10 Jun 2021
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