Papers citing 'Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings'

Title
Geometric Algorithms for Neural Combinatorial Optimization with Constraints Nikolaos Karalias Akbar Rafiey Yifei Xu Zhishang Luo B. Tahmasebi Connie Jiang Stefanie Jegelka 93 0 0 28 Oct 2025
Debiasing Machine Learning Models by Using Weakly Supervised Learning Renan D. B. Brotto Jean-Michel Loubes Laurent Risser J. Florens K. Filho João Marcos Travassos Romano 186 2 0 23 Feb 2024
Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings Phuong Dinh Mai Duc-Trong Le Tuan-Anh Hoang Dung D. Le 178 1 0 22 Feb 2024
Sampling Individually-Fair Rankings that are Always Group FairAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Sruthi Gorantla Anay Mehrotra Amit Deshpande Anand Louis FedML FaML 120 4 0 21 Jun 2023
Learning to Re-rank with Constrained Meta-Optimal TransportAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Andrés Hoyos-Idrobo OffRL 232 0 0 29 Apr 2023
Fairness in Matching under UncertaintyInternational Conference on Machine Learning (ICML), 2023 Siddartha Devic David Kempe Willie Neiswanger Aleksandra Korolova FaML 169 6 0 08 Feb 2023
Individual Fairness under Varied Notions of Group Fairness in Bipartite Matching - One Framework to Approximate Them All Atasi Panda Anand Louis Prajakta Nimbhorkar FaML 213 2 0 21 Aug 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsWeb Search and Data Mining (WSDM), 2022 Lequn Wang Thorsten Joachims 205 25 0 30 May 2022
Optimizing generalized Gini indices for fairness in rankingsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Virginie Do Nicolas Usunier 192 33 0 02 Apr 2022
Sampling Ex-Post Group-Fair RankingsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Sruthi Gorantla Amit Deshpande Anand Louis FedML 171 1 0 02 Mar 2022

Geometric Algorithms for Neural Combinatorial Optimization with Constraints

93

0

28 Oct 2025

Debiasing Machine Learning Models by Using Weakly Supervised Learning

João Marcos Travassos Romano

186

2

0

23 Feb 2024

Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings

178

1

0

22 Feb 2024

Sampling Individually-Fair Rankings that are Always Group FairAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023

120

4

0

21 Jun 2023

Learning to Re-rank with Constrained Meta-Optimal TransportAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023

Andrés Hoyos-Idrobo

OffRL

232

0

29 Apr 2023

Fairness in Matching under UncertaintyInternational Conference on Machine Learning (ICML), 2023

169

6

0

08 Feb 2023

Individual Fairness under Varied Notions of Group Fairness in Bipartite Matching - One Framework to Approximate Them All

213

2

0

21 Aug 2022

Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsWeb Search and Data Mining (WSDM), 2022

Lequn Wang

Thorsten Joachims

205

25

0

30 May 2022

Optimizing generalized Gini indices for fairness in rankingsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

Virginie Do

Nicolas Usunier

192

33

0

02 Apr 2022

Sampling Ex-Post Group-Fair RankingsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022

171

1

0

02 Mar 2022

All Papers

Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings

Papers citing "Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings"

Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings

Papers citing "Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings"