Fairness Without Demographics in Repeated Loss Minimization

20 June 2018

Tatsunori B. Hashimoto

Papers citing "Fairness Without Demographics in Repeated Loss Minimization"

50 / 138 papers shown

Title
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 55 27 0 20 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 56 34 0 19 Sep 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 38 18 0 24 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 49 38 0 18 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 23 62 0 14 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 32 9 0 24 Jun 2022
Emergent specialization from participation dynamics and multi-learner retraining Sarah Dean Mihaela Curmei Lillian J. Ratliff Jamie Morgenstern Maryam Fazel 26 5 0 06 Jun 2022
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy Atoosa Kasirzadeh FaML 33 39 0 02 Jun 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Exploring Rawlsian Fairness for K-Means Clustering Stanley Simoes Deepak P Muiris Maccarthaigh FaML 22 3 0 04 May 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 33 0 0 22 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 27 5 0 13 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 53 320 0 06 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 34 37 0 06 Apr 2022
Flexible risk design using bi-directional dispersion Matthew J. Holland 38 6 0 28 Mar 2022
Distributionally Robust Optimization via Ball Oracle Acceleration Y. Carmon Danielle Hausler 18 12 0 24 Mar 2022
Challenges and Strategies in Cross-Cultural NLP Daniel Hershcovich Stella Frank Heather Lent Miryam de Lhoneux Mostafa Abdou ... Ruixiang Cui Constanza Fierro Katerina Margatina Phillip Rust Anders Søgaard 45 163 0 18 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing Ilias Chalkidis Tommaso Pasini Shenmin Zhang Letizia Tomada Sebastian Felix Schwemer Anders Søgaard AILaw 40 54 0 14 Mar 2022
Exploring the Unfairness of DP-SGD Across Settings Frederik Noe R. Herskind Anders Søgaard 27 4 0 24 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 27 18 0 10 Feb 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning Models Mitchell L. Gordon Michelle S. Lam J. Park Kayur Patel Jeffrey T. Hancock Tatsunori Hashimoto Michael S. Bernstein 27 146 0 07 Feb 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 132 42 0 28 Jan 2022
Towards Group Robustness in the presence of Partial Group Labels Vishnu Suresh Lokhande Kihyuk Sohn Jinsung Yoon Madeleine Udell Chen-Yu Lee Tomas Pfister OOD 42 11 0 10 Jan 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 27 326 0 13 Dec 2021
The Effect of Model Size on Worst-Group Generalization Alan Pham Eunice Chan V. Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt 23 5 0 08 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 39 112 0 27 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Boosted CVaR Classification Runtian Zhai Chen Dan A. Suggala Zico Kolter Pradeep Ravikumar 14 16 0 26 Oct 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis Jikai Jin Samir Bhatt Haiyang Wang Liwei Wang 32 48 0 24 Oct 2021
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness Nicola Neophytou Bhaskar Mitra Catherine Stinson CML 15 25 0 15 Oct 2021
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 24 4 0 11 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun OOD 396 49 0 06 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 30 25 0 06 Oct 2021
On Language Models for Creoles Heather Lent Emanuele Bugliarello Miryam de Lhoneux Chen Qiu Anders Søgaard 41 20 0 13 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 27 0 10 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 61 519 0 31 Aug 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies Sunipa Dev Masoud Monajatipoor Anaelia Ovalle Arjun Subramonian J. M. Phillips Kai-Wei Chang 39 164 0 27 Aug 2021
Estimation of Fair Ranking Metrics with Incomplete Judgments Ömer Kirnap Fernando Diaz Asia J. Biega Michael D. Ekstrand Ben Carterette Emine Yilmaz 26 37 0 11 Aug 2021
Preventing dataset shift from breaking machine-learning biomarkers Jéroome Dockes Gaël Varoquaux J B Poline OOD 30 64 0 21 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information E. Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 37 540 0 19 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 33 74 0 01 Jul 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 45 19 0 17 Jun 2021