Fairness risk measures

24 January 2019

Papers citing "Fairness risk measures"

34 / 34 papers shown

Title
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 39 2 0 02 Nov 2024
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity Quan Nguyen Nishant A. Mehta Cristóbal Guzmán 39 1 0 01 Oct 2024
SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge Rujun Jiang 47 0 0 19 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 80 1 0 23 Jun 2024
An Axiomatic Approach to Loss Aggregation and an Adapted Aggregating Algorithm Armando J. Cabrera Pacheco Rabanus Derr Robert C. Williamson 46 0 0 04 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 86 11 0 02 Jun 2024
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction Jake Roth Ying Cui 31 2 0 13 May 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas P. Zollo Todd Morrill Zhun Deng Jake C. Snell T. Pitassi Richard Zemel 45 8 0 22 Nov 2023
A Model-Based Method for Minimizing CVaR and Beyond S. Meng Robert Mansel Gower 23 4 0 27 May 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 13 9 0 08 Feb 2023
Stochastic Optimization for Spectral Risk Measures Ronak R. Mehta Vincent Roulet Krishna Pillutla Lang Liu Zaïd Harchaoui 42 6 0 10 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 24 6 0 28 Nov 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 40 32 0 18 Jul 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 40 6 0 05 Jun 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
Exploring the Unfairness of DP-SGD Across Settings Frederik Noe R. Herskind Anders Søgaard 27 4 0 24 Feb 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 51 6 0 31 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 21 67 0 04 Jan 2022
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 29 4 0 11 Oct 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 38 2 0 11 Aug 2021
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 18 25 0 19 Jun 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 36 94 0 02 Mar 2021
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers Anand Deo Karthyek Murthy 30 10 0 14 Feb 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 85 110 0 04 Jan 2021
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
Coping with Label Shift via Distributionally Robust Optimisation J.N. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 24 70 0 23 Oct 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 29 68 0 03 Aug 2020
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 25 46 0 15 Jun 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 33 3 0 24 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 908 0 02 Mar 2020
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 24 52 0 28 Oct 2019
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015