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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
Bias and Fairness in Computer Vision Applications of the Criminal Justice System
IEEE Symposium Series on Computational Intelligence (SSCI), 2021
Sophie Noiret
J. Lumetzberger
M. Kampel
FaML
130
11
0
05 Aug 2022
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Christian Frohlich
Robert C. Williamson
254
5
0
05 Aug 2022
Can we achieve robustness from data alone?
Nikolaos Tsilivis
Jingtong Su
Julia Kempe
OOD
DD
323
20
0
24 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Production and operations management (POM), 2022
Maria De-Arteaga
Stefan Feuerriegel
M. Saar-Tsechansky
FaML
230
54
0
22 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Ananya Kumar
Tengyu Ma
Abigail Z. Jacobs
Aditi Raghunathan
UQCV
OODD
OOD
220
45
0
18 Jul 2022
Adversarial Reweighting for Speaker Verification Fairness
Interspeech (Interspeech), 2022
Minho Jin
Chelsea J.-T. Ju
Zeya Chen
Yi-Chieh Liu
J. Droppo
A. Stolcke
142
5
0
15 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness
Neural Information Processing Systems (NeurIPS), 2022
Michael Zhang
Christopher Ré
VLM
203
84
0
14 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
376
238
0
14 Jul 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning
Discover Data (DD), 2022
Damien Dablain
Bartosz Krawczyk
Nitesh Chawla
FaML
193
30
0
13 Jul 2022
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization
Liam Peet-Paré
N. Hegde
Alona Fyshe
FaML
133
6
0
12 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zinan Lin
OOD
222
12
0
04 Jul 2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale
A. Veldanda
Shubham Sharma
Jiahao Chen
Sanghamitra Dutta
Alan Mishler
S. Garg
173
7
0
29 Jun 2022
Distilling Model Failures as Directions in Latent Space
International Conference on Learning Representations (ICLR), 2022
Saachi Jain
Hannah Lawrence
Ankur Moitra
Aleksander Madry
274
98
0
29 Jun 2022
On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
249
5
0
24 Jun 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
Marc Juárez
Aleksandra Korolova
FedML
282
11
0
24 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
ACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
435
35
0
08 Jun 2022
How does overparametrization affect performance on minority groups?
Subha Maity
Saptarshi Roy
Songkai Xue
Mikhail Yurochkin
Yuekai Sun
167
2
0
07 Jun 2022
Emergent specialization from participation dynamics and multi-learner retraining
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Sarah Dean
Mihaela Curmei
Lillian J. Ratliff
Jamie Morgenstern
Maryam Fazel
397
6
0
06 Jun 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
Da Yu
Gautam Kamath
Janardhan Kulkarni
Tie-Yan Liu
Jian Yin
Huishuai Zhang
593
25
0
06 Jun 2022
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Atoosa Kasirzadeh
FaML
174
48
0
02 Jun 2022
Understanding new tasks through the lens of training data via exponential tilting
International Conference on Learning Representations (ICLR), 2022
Subha Maity
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
303
12
0
26 May 2022
E2FL: Equal and Equitable Federated Learning
Hamid Mozaffari
Amir Houmansadr
FedML
269
11
0
20 May 2022
Federated learning: Applications, challenges and future directions
International Journal of Hybrid Intelligent Systems (IJHIS), 2022
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
176
84
0
18 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law
EURO Journal on Decision Processes (EJDP), 2022
Thierry Kirat
Olivia Tambou
Virginie Do
A. Tsoukiás
FaML
129
24
0
14 May 2022
De-biasing "bias" measurement
Conference on Fairness, Accountability and Transparency (FAccT), 2022
K. Lum
Yunfeng Zhang
Amanda Bower
267
32
0
11 May 2022
Network Gradient Descent Algorithm for Decentralized Federated Learning
Shuyuan Wu
Danyang Huang
Hansheng Wang
FedML
206
13
0
06 May 2022
Exploring Rawlsian Fairness for K-Means Clustering
Stanley Simoes
Deepak P
Muiris Maccarthaigh
FaML
136
3
0
04 May 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification
Jared Mowery
SSL
224
0
0
22 Apr 2022
Improved Group Robustness via Classifier Retraining on Independent Splits
Thien Hai Nguyen
Hongyang R. Zhang
Huy Le Nguyen
OOD
355
2
0
20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
361
196
0
18 Apr 2022
Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms
Laura Niss
Yuekai Sun
Ambuj Tewari
FaML
151
5
0
13 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios
International Conference on Learning Representations (ICLR), 2022
Paul Michel
Tatsunori Hashimoto
Graham Neubig
OOD
211
20
0
13 Apr 2022
Estimating Structural Disparities for Face Models
Computer Vision and Pattern Recognition (CVPR), 2022
Shervin Ardeshir
Cristina Segalin
Nathan Kallus
CVBM
160
5
0
13 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
International Conference on Learning Representations (ICLR), 2022
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
426
423
0
06 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
International Conference on Software Engineering (ICSE), 2022
Xuanqi Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Qianqian Wang
185
46
0
06 Apr 2022
Learning Fair Models without Sensitive Attributes: A Generative Approach
Neurocomputing (Neurocomputing), 2022
Huaisheng Zhu
Suhang Wang
FaML
155
12
0
30 Mar 2022
Flexible risk design using bi-directional dispersion
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Matthew J. Holland
356
6
0
28 Mar 2022
Distributionally Robust Optimization via Ball Oracle Acceleration
Neural Information Processing Systems (NeurIPS), 2022
Y. Carmon
Danielle Hausler
162
14
0
24 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching
T. Kehrenberg
Myles Bartlett
V. Sharmanska
Novi Quadrianto
113
1
0
24 Mar 2022
Fair Federated Learning via Bounded Group Loss
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FaML
FedML
342
18
0
18 Mar 2022
Challenges and Strategies in Cross-Cultural NLP
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Daniel Hershcovich
Stella Frank
Heather Lent
Miryam de Lhoneux
Mostafa Abdou
...
Ruixiang Cui
Constanza Fierro
Katerina Margatina
Phillip Rust
Anders Søgaard
349
238
0
18 Mar 2022
Learning Distributionally Robust Models at Scale via Composite Optimization
International Conference on Learning Representations (ICLR), 2022
Farzin Haddadpour
Mohammad Mahdi Kamani
M. Mahdavi
Amin Karbasi
OOD
174
5
0
17 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ilias Chalkidis
Tommaso Pasini
Shenmin Zhang
Letizia Tomada
Sebastian Felix Schwemer
Anders Søgaard
AILaw
216
62
0
14 Mar 2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
The Web Conference (WWW), 2022
Jian Kang
Yangchun Zhu
Yinglong Xia
Jiebo Luo
Hanghang Tong
FaML
172
52
0
28 Feb 2022
Exploring the Unfairness of DP-SGD Across Settings
Frederik Noe
R. Herskind
Anders Søgaard
135
5
0
24 Feb 2022
Learning Representations Robust to Group Shifts and Adversarial Examples
Ming-Chang Chiu
Xuezhe Ma
OOD
126
0
0
18 Feb 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yuan Jiang
Yaoxin Wu
Zhiguang Cao
Jie Zhang
OOD
151
53
0
15 Feb 2022
Distributionally Robust Data Join
Symposium on Foundations of Responsible Computing (FRC), 2022
Pranjal Awasthi
Christopher Jung
Jamie Morgenstern
OOD
214
4
0
11 Feb 2022
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift
Annual Conference Computational Learning Theory (COLT), 2022
Alekh Agarwal
Tong Zhang
OOD
199
33
0
11 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient
Max W. Shen
162
21
0
10 Feb 2022
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