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Fairness Without Demographics in Repeated Loss Minimization
v1v2 (latest)

Fairness Without Demographics in Repeated Loss Minimization

20 June 2018
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Abigail Z. Jacobs
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fairness Without Demographics in Repeated Loss Minimization"

50 / 393 papers shown
Distributionally Robust Feature Selection
Distributionally Robust Feature Selection
Maitreyi Swaroop
Tamar Krishnamurti
Bryan Wilder
OODD
236
0
0
24 Oct 2025
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
Songqi Zhou
Zeyuan Liu
Benben Jiang
FaML
185
0
0
22 Oct 2025
Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
Bohao Wang
Jiawei Chen
Feng Liu
Changwang Zhang
Jun Wang
Canghong Jin
Chun-Yen Chen
Can Wang
115
0
0
13 Oct 2025
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
Sung Ho Jo
Seonghwi Kim
Minwoo Chae
138
0
0
03 Oct 2025
From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift
From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift
A. Ehyaei
G. Farnadi
Samira Samadi
143
0
0
30 Sep 2025
Demographic-Agnostic Fairness without Harm
Demographic-Agnostic Fairness without Harm
Zhongteng Cai
Mohammad Mahdi Khalili
Xueru Zhang
125
0
0
28 Sep 2025
SPRINT: Stochastic Performative Prediction With Variance Reduction
SPRINT: Stochastic Performative Prediction With Variance Reduction
Tian Xie
Ding Zhu
Jia Liu
Mahdi Khalili
X. Zhang
193
1
0
22 Sep 2025
Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression
Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression
Yigit E. Yildirim
Samet Demir
Zafer Dogan
86
0
0
18 Sep 2025
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Haneen Najjar
Eyal Ronen
Mahmood Sharif
AAML
169
0
0
16 Sep 2025
Applications and Challenges of Fairness APIs in Machine Learning Software
Applications and Challenges of Fairness APIs in Machine Learning SoftwareACM Transactions on Software Engineering and Methodology (TOSEM), 2025
Ajoy Das
Gias Uddin
Shaiful Chowdhury
Mostafijur Rahman Akhond
Hadi Hemmati
FaML
199
0
0
22 Aug 2025
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang
Yuchen Song
Shengén Li
Dongmian Zou
123
0
0
14 Aug 2025
Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision
Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision
Ahsan Habib Akash
Greg Murray
Annahita Amireskandari
Joel Palko
Carol Laxson
Binod Bhattarai
P. Gyawali
VLM
99
0
0
12 Aug 2025
Distributionally Robust Optimization with Adversarial Data Contamination
Distributionally Robust Optimization with Adversarial Data Contamination
Shuyao Li
Ilias Diakonikolas
Jelena Diakonikolas
254
0
0
14 Jul 2025
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
Haoran Xin
Ying Sun
Chao Wang
Yanke Yu
Weijia Zhang
Hui Xiong
FaML
189
1
0
26 May 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu
Li Lin
Wenbin Zhang
Xin Wang
Zhenhuan Yang
Shu Hu
NoLa
384
5
0
24 May 2025
M$^2$FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
M2^22FGB: A Min-Max Gradient Boosting Framework for Subgroup FairnessConference on Fairness, Accountability and Transparency (FAccT), 2025
Jansen S. B. Pereira
Giovani Valdrighi
Marcos Medeiros Raimundo
FaML
337
0
0
16 Apr 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at OddsInternational Conference on Learning Representations (ICLR), 2025
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Sicheng Zhu
Furong Huang
Tudor Dumitras
AAML
272
0
0
02 Apr 2025
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
Wen Xu
Elham Dolatabadi
FaML
263
1
0
21 Mar 2025
Gradient Extrapolation for Debiased Representation Learning
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad
M. Shadaydeh
Joachim Denzler
328
1
0
17 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
Binghui Zhang
Luis Mares De La Cruz
Binghui Wang
FedML
175
1
0
15 Mar 2025
Evolutionary Prediction Games
Evolutionary Prediction Games
Eden Saig
Nir Rosenfeld
452
0
0
05 Mar 2025
Position: Model Collapse Does Not Mean What You Think
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer
Joshua Kazdan
Alvan Caleb Arulandu
Sanmi Koyejo
744
20
0
05 Mar 2025
Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth
Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth
Seyed Pouyan Mousavi Davoudi
Amin Gholami Davodi
Alireza Amiri-Margavi
Alireza Shafiee Fard
Mahdi Jafari
LRM
318
3
0
28 Feb 2025
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of HealthInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Mira Moukheiber
L. Moukheiber
Dana Moukheiber
Hyung-Chul Lee
301
3
0
23 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Floris Holstege
Mackenzie Jorgensen
Kirtan Padh
Jurriaan Parie
Joel Persson
Krsto Prorokovic
Lukas Snoek
397
1
0
03 Feb 2025
Policy Design for Two-sided Platforms with Participation Dynamics
Policy Design for Two-sided Platforms with Participation Dynamics
Haruka Kiyohara
Fan Yao
Sarah Dean
396
4
0
03 Feb 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Enhancing Robust Fairness via Confusional Spectral RegularizationInternational Conference on Learning Representations (ICLR), 2025
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
518
3
0
22 Jan 2025
Uncovering Memorization Effect in the Presence of Spurious Correlations
Uncovering Memorization Effect in the Presence of Spurious CorrelationsNature Communications (Nat Commun), 2025
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
498
3
0
01 Jan 2025
Fairness without Demographics through Learning Graph of Gradients
Fairness without Demographics through Learning Graph of GradientsKnowledge Discovery and Data Mining (KDD), 2024
Yingtao Luo
Zerui Li
Qiang Liu
Jun Zhu
374
2
0
31 Dec 2024
On Calibration in Multi-Distribution Learning
On Calibration in Multi-Distribution LearningConference on Fairness, Accountability and Transparency (FAccT), 2024
Rajeev Verma
Volker Fischer
Eric Nalisnick
226
1
0
18 Dec 2024
Causal Invariance Learning via Efficient Nonconvex Optimization
Causal Invariance Learning via Efficient Nonconvex Optimization
Zhenyu Wang
Yifan Hu
Peter Buhlmann
Zijian Guo
444
3
0
16 Dec 2024
Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models
Enhancing Answer Reliability Through Inter-Model Consensus of Large Language ModelsArtificial Intelligence Applications and Innovations (AIAI), 2024
Alireza Amiri-Margavi
Iman Jebellat
Ehsan Jebellat
Seyed Pouyan Mousavi Davoudi
431
3
0
25 Nov 2024
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Hexuan Deng
Wenxiang Jiao
Xuebo Liu
Min Zhang
Zhaopeng Tu
Zhaopeng Tu
VLM
573
2
0
21 Nov 2024
Towards Utilising a Range of Neural Activations for Comprehending
  Representational Associations
Towards Utilising a Range of Neural Activations for Comprehending Representational AssociationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Laura O'Mahony
Nikola S. Nikolov
David JP O'Sullivan
448
2
0
15 Nov 2024
Learning a Single Neuron Robustly to Distributional Shifts and
  Adversarial Label Noise
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label NoiseNeural Information Processing Systems (NeurIPS), 2024
Shuyao Li
Sushrut Karmalkar
Ilias Diakonikolas
Jelena Diakonikolas
OOD
217
2
0
11 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Towards Harmless Rawlsian Fairness Regardless of Demographic PriorNeural Information Processing Systems (NeurIPS), 2024
Xuanqian Wang
Jing Li
Ivor Tsang
Yew-Soon Ong
358
2
0
04 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability
Mitigating Spurious Correlations via Disagreement ProbabilityNeural Information Processing Systems (NeurIPS), 2024
Hyeonggeun Han
Sehwan Kim
Hyungjun Joo
Sangwoo Hong
Jungwoo Lee
568
4
0
04 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
FEED: Fairness-Enhanced Meta-Learning for Domain GeneralizationBigData Congress [Services Society] (BSS), 2024
Kai Jiang
Chen Zhao
Haoliang Wang
Feng Chen
OODFedML
232
6
0
02 Nov 2024
Increasing Interpretability of Neural Networks By Approximating Human
  Visual Saliency
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency
Aidan Boyd
M. Trabelsi
H. Uzunalioglu
Dan Kushnir
FAtt
219
0
0
21 Oct 2024
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Jessica Dai
Nika Haghtalab
Eric Zhao
245
2
0
18 Oct 2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation
  without Group Annotation
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
Mahdi Ghaznavi
Hesam Asadollahzadeh
Fahimeh Hosseini Noohdani
Soroush Vafaie Tabar
Hosein Hasani
Taha Akbari Alvanagh
M. Rohban
M. Baghshah
251
0
0
07 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
254
0
0
06 Oct 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
Upsample or Upweight? Balanced Training on Heavily Imbalanced DatasetsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Tianjian Li
Haoran Xu
Weiting Tan
Kenton Murray
Daniel Khashabi
522
3
0
06 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing
Fairness without Sensitive Attributes via Knowledge SharingConference on Fairness, Accountability and Transparency (FAccT), 2024
Hongliang Ni
Lei Han
Tong Chen
S. Sadiq
Gianluca Demartini
307
9
0
27 Sep 2024
Fair Anomaly Detection For Imbalanced Groups
Fair Anomaly Detection For Imbalanced Groups
Ziwei Wu
Lecheng Zheng
Yuancheng Yu
Ruizhong Qiu
John Birge
Jingrui He
FaML
235
9
0
17 Sep 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Explaining Datasets in Words: Statistical Models with Natural Language ParametersNeural Information Processing Systems (NeurIPS), 2024
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
282
11
0
13 Sep 2024
FairQuant: Certifying and Quantifying Fairness of Deep Neural Networks
FairQuant: Certifying and Quantifying Fairness of Deep Neural NetworksInternational Conference on Software Engineering (ICSE), 2024
Brian Hyeongseok Kim
Jingbo Wang
Chao Wang
277
4
0
05 Sep 2024
Fairness in Survival Analysis with Distributionally Robust Optimization
Fairness in Survival Analysis with Distributionally Robust OptimizationJournal of machine learning research (JMLR), 2024
Shu Hu
George H. Chen
245
10
0
31 Aug 2024
On the KL-Divergence-based Robust Satisficing Model
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan
Minglong Zhou
Jiayi Guo
214
2
0
17 Aug 2024
Making Robust Generalizers Less Rigid with Loss Concentration
Making Robust Generalizers Less Rigid with Loss Concentration
Matthew J. Holland
Toma Hamada
OOD
372
0
0
07 Aug 2024
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