Robust Optimization for Fairness with Noisy Protected Groups

21 February 2020

S. Wang

Wenshuo Guo

Harikrishna Narasimhan

Papers citing "Robust Optimization for Fairness with Noisy Protected Groups"

22 / 22 papers shown

Title
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 56 0 0 13 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 29 1 0 28 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 99 0 0 20 Feb 2024
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 27 17 0 05 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 28 5 0 02 Feb 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 23 16 0 30 Nov 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 28 6 0 14 Oct 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 31 19 0 22 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 24 11 0 10 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees N. Sohoni Maziar Sanjabi Nicolas Ballas Aditya Grover Shaoliang Nie Hamed Firooz Christopher Ré OOD 10 24 0 31 Dec 2021
Learning Invariant Representations with Missing Data Mark Goldstein J. Jacobsen O. Chau A. Saporta A. Puli Rajesh Ranganath Andrew C. Miller OOD 12 5 0 01 Dec 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 13 61 0 27 Oct 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 20 18 0 26 Oct 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 27 21 0 09 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 27 39 0 23 Jun 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 30 19 0 17 Jun 2021
Examining and Combating Spurious Features under Distribution Shift Chunting Zhou Xuezhe Ma Paul Michel Graham Neubig OOD 24 65 0 14 Jun 2021
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 16 240 0 25 Nov 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 18 61 0 18 Jul 2020
Fair Performance Metric Elicitation G. Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 24 18 0 23 Jun 2020
Fair Learning with Private Demographic Data Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 25 73 0 26 Feb 2020