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Individual Fairness in Hindsight
v1v2v3 (latest)

Individual Fairness in Hindsight

10 December 2018
Swati Gupta
Vijay Kamble
    FaML
ArXiv (abs)PDFHTML

Papers citing "Individual Fairness in Hindsight"

36 / 36 papers shown
Title
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
Sajjad Hashemian
Mohammad Saeed Arvenaghi
92
0
0
11 Mar 2025
Online Fair Allocation of Perishable Resources
Online Fair Allocation of Perishable Resources
Siddhartha Banerjee
Chamsi Hssaine
Sean R. Sinclair
64
13
0
04 Jun 2024
Individual Fairness Through Reweighting and Tuning
Individual Fairness Through Reweighting and Tuning
A. J. Mahamadou
Lea Goetz
Russ B. Altman
78
0
0
02 May 2024
Monotone Individual Fairness
Monotone Individual Fairness
Yahav Bechavod
62
2
0
11 Mar 2024
Fair Resource Allocation in Virtualized O-RAN Platforms
Fair Resource Allocation in Virtualized O-RAN Platforms
Fatih Aslan
Georgios Iosifidis
J. Ayala-Romero
A. Garcia-Saavedra
Xavier Costa Pérez
66
13
0
17 Feb 2024
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
Patrick Jaillet
Chara Podimata
Zijie Zhou
FaML
32
0
0
13 Feb 2024
Markdown Pricing Under an Unknown Parametric Demand Model
Markdown Pricing Under an Unknown Parametric Demand Model
Su Jia
Andrew Li
Ramamoorthi Ravi
21
0
0
23 Dec 2023
Certification of Distributional Individual Fairness
Certification of Distributional Individual Fairness
Matthew Wicker
Vihari Piratla
Adrian Weller
54
1
0
20 Nov 2023
Loss Balancing for Fair Supervised Learning
Loss Balancing for Fair Supervised Learning
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FedMLFaML
55
7
0
07 Nov 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision
  Forests
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
Somnath Basu Roy Chowdhury
Nicholas Monath
Ahmad Beirami
Rahul Kidambi
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
66
2
0
17 Oct 2023
Identifying Early Help Referrals For Local Authorities With Machine
  Learning And Bias Analysis
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis
E. A. L. Neto
J. Bailiss
Axel Finke
J. Miller
Georgina Cosma
21
0
0
13 Jul 2023
Optimizer's Information Criterion: Dissecting and Correcting Bias in
  Data-Driven Optimization
Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization
G. Iyengar
Henry Lam
Tianyu Wang
64
4
0
16 Jun 2023
Fairness and Accuracy under Domain Generalization
Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
99
23
0
30 Jan 2023
Fairness and Sequential Decision Making: Limits, Lessons, and
  Opportunities
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
58
6
0
13 Jan 2023
Sequential Fair Resource Allocation under a Markov Decision Process
  Framework
Sequential Fair Resource Allocation under a Markov Decision Process Framework
Parisa Hassanzadeh
Eleonora Kreacic
Sihan Zeng
Yuchen Xiao
Sumitra Ganesh
21
3
0
10 Jan 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
102
9
0
15 Dec 2022
Doubly Fair Dynamic Pricing
Doubly Fair Dynamic Pricing
Jianyu Xu
Dan Qiao
Yu Wang
82
9
0
23 Sep 2022
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness
  on Fair Clustering
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
R. Fajri
A. Saxena
Yulong Pei
Mykola Pechenizkiy
FaML
51
3
0
21 Sep 2022
Enabling Long-term Fairness in Dynamic Resource Allocation
Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si Salem
Georgios Iosifidis
Giovanni Neglia
57
23
0
11 Aug 2022
Network Revenue Management with Demand Learning and Fair
  Resource-Consumption Balancing
Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing
Xi Chen
Jiameng Lyu
Yining Wang
Yuan Zhou
39
1
0
22 Jul 2022
Individually Fair Learning with One-Sided Feedback
Individually Fair Learning with One-Sided Feedback
Yahav Bechavod
Aaron Roth
FaML
60
3
0
09 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
94
29
0
08 Jun 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision
  Making
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
92
12
0
10 May 2022
Fairness for AUC via Feature Augmentation
Fairness for AUC via Feature Augmentation
H. Fong
Vineet Kumar
Anay Mehrotra
Nisheeth K. Vishnoi
85
10
0
24 Nov 2021
Towards Return Parity in Markov Decision Processes
Towards Return Parity in Markov Decision Processes
Jianfeng Chi
Jian Shen
Xinyi Dai
Weinan Zhang
Yuan Tian
Han Zhao
62
14
0
19 Nov 2021
Fairness-aware Online Price Discrimination with Nonparametric Demand
  Models
Fairness-aware Online Price Discrimination with Nonparametric Demand Models
Xi Chen
Jiameng Lyu
Xuan Zhang
Yuanshuo Zhou
53
7
0
16 Nov 2021
Fairer LP-based Online Allocation via Analytic Center
Fairer LP-based Online Allocation via Analytic Center
Guanting Chen
Xiaocheng Li
Yinyu Ye
FaML
116
8
0
27 Oct 2021
Fair Sequential Selection Using Supervised Learning Models
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
60
20
0
26 Oct 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on
  Individual Instability
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Neal Patwari
Suresh Venkatasubramanian
123
8
0
24 Apr 2021
Algorithmic Challenges in Ensuring Fairness at the Time of Decision
Algorithmic Challenges in Ensuring Fairness at the Time of Decision
Jad Salem
Swati Gupta
Vijay Kamble
FaML
57
4
0
16 Mar 2021
Improving Fairness and Privacy in Selection Problems
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
Somayeh Sojoudi
147
27
0
07 Dec 2020
Beyond Individual and Group Fairness
Beyond Individual and Group Fairness
Pranjal Awasthi
Corinna Cortes
Yishay Mansour
M. Mohri
FaML
143
22
0
21 Aug 2020
Bandit Learning with Delayed Impact of Actions
Bandit Learning with Delayed Impact of Actions
Wei Tang
Chien-Ju Ho
Yang Liu
109
12
0
24 Feb 2020
Metric-Free Individual Fairness in Online Learning
Metric-Free Individual Fairness in Online Learning
Yahav Bechavod
Christopher Jung
Zhiwei Steven Wu
FaML
97
50
0
13 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
154
51
0
14 Jan 2020
Advancing subgroup fairness via sleeping experts
Advancing subgroup fairness via sleeping experts
Avrim Blum
Thodoris Lykouris
FedML
68
37
0
18 Sep 2019
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