Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1806.08010
Cited By
v1
v2 (latest)
Fairness Without Demographics in Repeated Loss Minimization
20 June 2018
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Abigail Z. Jacobs
FaML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fairness Without Demographics in Repeated Loss Minimization"
50 / 393 papers shown
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Xingtai Lv
Zhiyong Peng
234
2
0
23 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
Tyler LaBonte
John C. Hill
Xinchen Zhang
Vidya Muthukumar
Abhishek Kumar
AAML
227
4
0
19 Jul 2024
An integrated perspective of robustness in regression through the lens of the bias-variance trade-off
Akifumi Okuno
231
0
0
15 Jul 2024
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran
A. Rattani
231
1
0
14 Jul 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
220
1
0
10 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density
Peiyu Yang
Naveed Akhtar
Mubarak Shah
Lin Wang
AAML
222
3
0
05 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
328
6
0
03 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
Shangzhou Xia
296
19
0
01 Jul 2024
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin
Tian Xie
Yang Liu
Xueru Zhang
239
7
0
24 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
200
3
0
22 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
Zhining Liu
Ruizhong Qiu
Zhichen Zeng
Yada Zhu
Hendrik Hamann
Hanghang Tong
FaML
343
11
0
13 Jun 2024
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets
Jiatong Shi
Shih-Heng Wang
William Chen
Martijn Bartelds
Vanya Bannihatti Kumar
...
Xuankai Chang
Dan Jurafsky
Karen Livescu
Hung-yi Lee
Shinji Watanabe
AuLLM
324
17
0
12 Jun 2024
Decoupling the Class Label and the Target Concept in Machine Unlearning
Jianing Zhu
Bo Han
Jiangchao Yao
Jianliang Xu
Gang Niu
Masashi Sugiyama
CLL
MU
173
7
0
12 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
258
5
0
11 Jun 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
OOD
265
2
0
10 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Y. Liu
Lu Cheng
FaML
517
6
0
10 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
233
2
0
05 Jun 2024
Learning from Streaming Data when Users Choose
Jinyan Su
Sarah Dean
FedML
236
1
0
03 Jun 2024
Robust Fair Clustering with Group Membership Uncertainty Sets
Sharmila Duppala
Juan Luque
John P. Dickerson
Seyed-Alireza Esmaeili
FaML
294
1
0
02 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Eric Wang
Shu Hu
Shu Hu
EGVM
713
30
0
02 Jun 2024
Intersectional Unfairness Discovery
Gezheng Xu
Qi Chen
Charles Ling
Boyu Wang
Changjian Shui
172
5
0
31 May 2024
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
417
0
0
30 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Kimia Hamidieh
Haoran Zhang
Swami Sankaranarayanan
Elisa Kreiss
315
2
0
28 May 2024
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov
Jake Fawkes
Samira Samadi
Amartya Sanyal
210
9
0
10 May 2024
Algorithmic Decision-Making under Agents with Persistent Improvement
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Tian Xie
Xuwei Tan
Xueru Zhang
275
7
0
03 May 2024
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
Tianhao Shi
Yang Zhang
Jizhi Zhang
Fuli Feng
Xiangnan He
251
8
0
02 May 2024
Curvature-Aligned Federated Learning (CAFe): Harmonizing Loss Landscapes for Fairness Without Demographics
Shaily Roy
Harshit Sharma
Asif Salekin
502
2
0
30 Apr 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
Yujin Han
Difan Zou
AAML
265
10
0
22 Apr 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
Qi Zhang
Yi Zhou
Ashley Prater-Bennette
Lixin Shen
Shaofeng Zou
305
4
0
01 Apr 2024
Protected group bias and stereotypes in Large Language Models
Hadas Kotek
David Q. Sun
Zidi Xiu
Margit Bowler
Christopher Klein
AILaw
ALM
173
6
0
21 Mar 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias
Conference on Fairness, Accountability and Transparency (FAccT), 2024
Sierra Wyllie
Ilia Shumailov
Nicolas Papernot
238
52
0
12 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification
Computer Vision and Pattern Recognition (CVPR), 2024
Tai-wei Chang
Qianpei He
Kun Kuang
Tianyu Wang
Long Chen
Chao-Xiang Wu
Jun Xiao
Hanwang Zhang
CVBM
288
11
0
11 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
302
3
0
28 Feb 2024
Towards Fairness-Aware Adversarial Learning
Yanghao Zhang
Tianle Zhang
Ronghui Mu
Xiaowei Huang
Wenjie Ruan
286
10
0
27 Feb 2024
Federated Fairness without Access to Sensitive Groups
Afroditi Papadaki
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
Miguel R. D. Rodrigues
FedML
225
3
0
22 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
269
8
0
20 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
422
0
0
20 Feb 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking
International Conference on Machine Learning (ICML), 2024
Alexander Pan
Erik Jones
Meena Jagadeesan
Jacob Steinhardt
KELM
400
56
0
09 Feb 2024
Disparate Impact on Group Accuracy of Linearization for Private Inference
International Conference on Machine Learning (ICML), 2024
Saswat Das
Marco Romanelli
Ferdinando Fioretto
FedML
218
4
0
06 Feb 2024
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
Yijiang Pang
Hoang Bao
Jiayu Zhou
345
1
0
02 Feb 2024
Strategic Usage in a Multi-Learner Setting
Eliot Shekhtman
Sarah Dean
206
3
0
29 Jan 2024
Understanding Domain Generalization: A Noise Robustness Perspective
International Conference on Learning Representations (ICLR), 2024
Rui Qiao
K. H. Low
OOD
291
8
0
26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI Conference on Artificial Intelligence (AAAI), 2024
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
256
3
0
25 Jan 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
Annual Conference Computational Learning Theory (COLT), 2024
Philip Amortila
Tongyi Cao
Akshay Krishnamurthy
OffRL
OOD
233
4
0
22 Jan 2024
Achieve Fairness without Demographics for Dermatological Disease Diagnosis
Ching-Hao Chiu
Yu-Jen Chen
Yawen Wu
Yiyu Shi
Tsung-Yi Ho
139
11
0
16 Jan 2024
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
321
5
0
19 Dec 2023
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
International Conference on Machine Learning (ICML), 2023
P. A. Alamdari
Toryn Q. Klassen
Elliot Creager
Sheila A. McIlraith
387
7
0
08 Dec 2023
Optimal Multi-Distribution Learning
Journal of the ACM (JACM), 2023
Zihan Zhang
Wenhao Zhan
Yuxin Chen
Simon S. Du
Jason D. Lee
508
15
0
08 Dec 2023
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing
Lucas Monteiro Paes
A. Suresh
Alex Beutel
Flavio du Pin Calmon
Ahmad Beirami
212
5
0
06 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes
Atharva Kulkarni
Lucio Dery
Amrith Rajagopal Setlur
Aditi Raghunathan
Ameet Talwalkar
Graham Neubig
275
2
0
05 Dec 2023
Previous
1
2
3
4
5
6
7
8
Next
