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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
Long-Term Fairness with Unknown Dynamics
Neural Information Processing Systems (NeurIPS), 2023
Tongxin Yin
Reilly P. Raab
M. Liu
Yang Liu
FaML
266
28
0
19 Apr 2023
Systemic Fairness
Arindam Ray
B. Padmanabhan
Lina Bouayad
FaML
134
0
0
14 Apr 2023
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
203
4
0
09 Apr 2023
Improving Identity-Robustness for Face Models
Q. Qi
Shervin Ardeshir
CVBM
OOD
192
3
0
07 Apr 2023
FairGen: Towards Fair Graph Generation
IEEE International Conference on Data Engineering (ICDE), 2023
Lecheng Zheng
Dawei Zhou
Hanghang Tong
Jiejun Xu
Yada Zhu
Jingrui He
384
14
0
30 Mar 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift
IEEE International Conference on Data Engineering (ICDE), 2023
Ke Yang
A. Meliou
281
1
0
30 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
Computer Vision and Pattern Recognition (CVPR), 2023
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
192
40
0
23 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023
Manas Wadhwa
Gagan Raj Gupta
Ashutosh Sahu
Rahul Saini
Vidhi Mittal
FedML
193
9
0
19 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
International Conference on Learning Representations (ICLR), 2023
Qizhou Wang
Junjie Ye
Yifan Zhang
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
349
56
0
09 Mar 2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling
Wei-Yin Ko
Daniel D'souza
Karina Nguyen
Randall Balestriero
Sara Hooker
FedML
278
13
0
01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
International Conference on Learning Representations (ICLR), 2023
Sangwon Jung
Taeeon Park
Sanghyuk Chun
Taesup Moon
190
24
0
01 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
International Journal of Computer Vision (IJCV), 2023
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
188
1
0
22 Feb 2023
Distributionally Robust Recourse Action
International Conference on Learning Representations (ICLR), 2023
D. Nguyen
Ngoc H. Bui
Viet Anh Nguyen
184
11
0
22 Feb 2023
Stochastic Approximation Approaches to Group Distributionally Robust Optimization
Lijun Zhang
Peng Zhao
Zhen-Hua Zhuang
Tianbao Yang
Zhihong Zhou
336
6
0
18 Feb 2023
Group Fairness with Uncertainty in Sensitive Attributes
Abhin Shah
Maohao Shen
J. Jon Ryu
Subhro Das
P. Sattigeri
Yuheng Bu
G. Wornell
FaML
210
5
0
16 Feb 2023
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
Natasa Krco
Thibault Laugel
Vincent Grari
Jean-Michel Loubes
Marcin Detyniecki
247
0
0
14 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Xudong Han
Timothy Baldwin
Trevor Cohn
225
15
0
11 Feb 2023
Ethical Considerations for Responsible Data Curation
Neural Information Processing Systems (NeurIPS), 2023
Jerone T. A. Andrews
Dora Zhao
William Thong
Apostolos Modas
Orestis Papakyriakopoulos
Alice Xiang
419
31
0
07 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness
Daniel E. Rigobon
FaML
158
2
0
07 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
International Conference on Learning Representations (ICLR), 2023
Amrith Rajagopal Setlur
D. Dennis
Benjamin Eysenbach
Aditi Raghunathan
Chelsea Finn
Virginia Smith
Sergey Levine
OOD
248
12
0
06 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu
Xiaotong Chen
Ying Han
Hongseok Namkoong
Kinjal Basu
312
2
0
03 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Shubham Sharma
Sanghamitra Dutta
Alan Mishler
S. Garg
309
7
0
02 Feb 2023
Robust variance-regularized risk minimization with concomitant scaling
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Matthew J. Holland
389
1
0
27 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
International Conference on Learning Representations (ICLR), 2023
Zeyu Tang
Yatong Chen
Yang Liu
Kun Zhang
250
9
0
21 Jan 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
270
7
0
13 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
266
2
0
03 Jan 2023
Manifestations of Xenophobia in AI Systems
Ai & Society (AS), 2022
Nenad Tomašev
J. L. Maynard
Iason Gabriel
405
11
0
15 Dec 2022
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
212
4
0
14 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
International Conference on Learning Representations (ICLR), 2022
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
241
9
0
02 Dec 2022
Learning Antidote Data to Individual Unfairness
International Conference on Machine Learning (ICML), 2022
Peizhao Li
Ethan Xia
Hongfu Liu
FedML
FaML
349
11
0
29 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Neural Information Processing Systems (NeurIPS), 2022
Wanqian Yang
Polina Kirichenko
Micah Goldblum
A. Wilson
DRL
234
14
0
28 Nov 2022
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Neural Information Processing Systems (NeurIPS), 2022
Rishi Bommasani
Kathleen A. Creel
Ananya Kumar
Dan Jurafsky
Abigail Z. Jacobs
200
116
0
25 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Neural Information Processing Systems (NeurIPS), 2022
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
276
25
0
23 Nov 2022
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics
Shu Hu
George H. Chen
144
17
0
18 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Mingcai Chen
Yu Zhao
Bing He
Zongbo Han
Bingzhe Wu
Jianhua Yao
142
12
0
16 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
Neural Information Processing Systems (NeurIPS), 2022
Xiaoqing Ellen Tan
Zhengling Qi
C. Seymour
Lu Tang
OffRL
168
10
0
12 Nov 2022
Reinforcement Learning with Stepwise Fairness Constraints
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zhun Deng
He Sun
Zhiwei Steven Wu
Linjun Zhang
David C. Parkes
FaML
OffRL
173
12
0
08 Nov 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
Neural Information Processing Systems (NeurIPS), 2022
Nabeel Seedat
Jonathan Crabbé
Ioana Bica
M. Schaar
175
33
0
24 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi
Chris Cundy
Sanjari Srivastava
Stefano Ermon
BDL
231
57
0
22 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
Neural Information Processing Systems (NeurIPS), 2022
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
451
45
0
22 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Haotian Ye
James Zou
Linjun Zhang
OOD
450
27
0
20 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups
Neural Information Processing Systems (NeurIPS), 2022
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles Ling
Tal Arbel
Boyu Wang
Christian Gagné
256
48
0
19 Oct 2022
Outlier-Robust Group Inference via Gradient Space Clustering
Yuchen Zeng
Kristjan Greenewald
Kangwook Lee
Justin Solomon
Mikhail Yurochkin
159
2
0
13 Oct 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
International Conference on Learning Representations (ICLR), 2022
Ozgur Guldogan
Yuchen Zeng
Jy-yong Sohn
Ramtin Pedarsani
Kangwook Lee
FaML
211
14
0
13 Oct 2022
Fairness Reprogramming
Neural Information Processing Systems (NeurIPS), 2022
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
637
42
0
21 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
International Conference on Learning Representations (ICLR), 2022
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
255
33
0
20 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Neural Information Processing Systems (NeurIPS), 2022
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
271
46
0
19 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Neural Information Processing Systems (NeurIPS), 2022
Mazda Moayeri
Kiarash Banihashem
Soheil Feizi
OOD
293
26
0
15 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
International Conference on Machine Learning (ICML), 2022
Rohan Taori
Tatsunori B. Hashimoto
349
60
0
08 Sep 2022
Take One Gram of Neural Features, Get Enhanced Group Robustness
Simon Roburin
Charles Corbière
Gilles Puy
Nicolas Thome
Matthieu Aubry
Renaud Marlet
Patrick Pérez
OOD
229
0
0
26 Aug 2022
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