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End-to-end Learning for Fair Ranking Systems

End-to-end Learning for Fair Ranking Systems

21 November 2021
James Kotary
Ferdinando Fioretto
Pascal Van Hentenryck
Ziwei Zhu
    FaML
ArXiv (abs)PDFHTML

Papers citing "End-to-end Learning for Fair Ranking Systems"

12 / 12 papers shown
Title
Performative Debias with Fair-exposure Optimization Driven by Strategic
  Agents in Recommender Systems
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
Zhichen Xiang
Hongke Zhao
Chuang Zhao
Ming He
Jianping Fan
54
1
0
25 Jun 2024
Differentiation of Multi-objective Data-driven Decision Pipeline
Differentiation of Multi-objective Data-driven Decision Pipeline
Peng Li
Lixia Wu
Chaoqun Feng
Haoyuan Hu
Lei Fu
Jieping Ye
124
1
0
02 Jun 2024
End-to-End Learning for Fair Multiobjective Optimization Under
  Uncertainty
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
M. H. Dinh
James Kotary
Ferdinando Fioretto
94
0
0
12 Feb 2024
Learning Fair Ranking Policies via Differentiable Optimization of
  Ordered Weighted Averages
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
M. H. Dinh
James Kotary
Ferdinando Fioretto
66
1
0
07 Feb 2024
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled
  Optimization
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
James Kotary
Jacob K Christopher
M. H. Dinh
Ferdinando Fioretto
47
0
0
28 Dec 2023
A predict-and-optimize approach to profit-driven churn prevention
A predict-and-optimize approach to profit-driven churn prevention
Nuria Gómez-Vargas
Sebastián Maldonado
Carla Vairetti
60
2
0
10 Oct 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and
  Future Opportunities
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
135
72
0
25 Jul 2023
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine
  Learning Software
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software
Ying Xiao
Shangwen Wang
Sicen Liu
Dingyuan Xue
Xian Zhan
Yepang Liu
CML
49
0
0
23 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport
Learning to Re-rank with Constrained Meta-Optimal Transport
Andrés Hoyos-Idrobo
OffRL
87
0
0
29 Apr 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Adam N. Elmachtoub
Henry Lam
Haofeng Zhang
Yunfan Zhao
176
6
0
13 Apr 2023
Backpropagation of Unrolled Solvers with Folded Optimization
Backpropagation of Unrolled Solvers with Folded Optimization
James Kotary
M. H. Dinh
Ferdinando Fioretto
100
15
0
28 Jan 2023
Decision-Focused Learning: Through the Lens of Learning to Rank
Decision-Focused Learning: Through the Lens of Learning to Rank
Jayanta Mandi
Víctor Bucarey
Maxime Mulamba Ke Tchomba
Tias Guns
85
48
0
07 Dec 2021
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