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Equal Opportunity of Coverage in Fair Regression

Equal Opportunity of Coverage in Fair Regression

3 November 2023
Fangxin Wang
Lu Cheng
Ruocheng Guo
Kay Liu
Philip S. Yu
ArXivPDFHTML

Papers citing "Equal Opportunity of Coverage in Fair Regression"

15 / 15 papers shown
Title
Fair Uncertainty Quantification for Depression Prediction
Fair Uncertainty Quantification for Depression Prediction
Yonghong Li
Xiuzhuang Zhou
53
0
0
08 May 2025
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
Chen Wang
Fangxin Wang
Ruocheng Guo
Yueqing Liang
Philip S. Yu
120
4
0
21 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact
Conformal Prediction Sets Can Cause Disparate Impact
Jesse C. Cresswell
Bhargava Kumar
Yi Sui
Mouloud Belbahri
FaML
84
1
0
17 Feb 2025
Fast Calibrated Explanations: Efficient and Uncertainty-Aware
  Explanations for Machine Learning Models
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
Tuwe Löfström
Fatima Rabia Yapicioglu
Alessandra Stramiglio
Helena Lofstrom
Fabio Vitali
FAtt
LRM
44
0
0
28 Oct 2024
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
88
3
0
09 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in
  Predictions
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
Helena Lofstrom
Tuwe Löfström
Johan Hallberg Szabadvary
33
0
0
07 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic
  Fairness
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
Lucas Rosenblatt
R. T. Witter
FaML
25
0
0
02 Oct 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness
  Coverage Guarantees
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
Zhiyuan Wang
Jinhao Duan
Lu Cheng
Yue Zhang
Qingni Wang
Hengtao Shen
Xiaofeng Zhu
Xiaoshuang Shi
Kaidi Xu
19
13
0
29 Jun 2024
API Is Enough: Conformal Prediction for Large Language Models Without
  Logit-Access
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Jiayuan Su
Jing Luo
Hongwei Wang
Lu Cheng
74
16
0
02 Mar 2024
JointMatch: A Unified Approach for Diverse and Collaborative
  Pseudo-Labeling to Semi-Supervised Text Classification
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
Henry Peng Zou
Cornelia Caragea
23
14
0
23 Oct 2023
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet
  Classification via Memory Bank
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
Henry Peng Zou
Yue Zhou
Weizhi Zhang
Cornelia Caragea
22
9
0
23 Oct 2023
Conformalized Fairness via Quantile Regression
Conformalized Fairness via Quantile Regression
Meichen Liu
Lei Ding
Dengdeng Yu
Wulong Liu
Linglong Kong
Bei Jiang
44
9
0
05 Oct 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
177
2,577
0
28 Mar 2008
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