Almost envy-free repeated matching in two-sided markets

S Gollapudi, K Kollias, B Plaut - … , WINE 2020, Beijing, China, December 7 …, 2020 - Springer
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …
被引用次数：20 相关文章

Almost Envy-free Repeated Matching in Two-sided Markets

S Gollapudi, K Kollias, B Plaut - arXiv preprint arXiv:2009.09336, 2020 - arxiv.org
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …

Almost Envy-free Repeated Matching in Two-sided Markets

S Gollapudi, K Kollias, B Plaut - research.google
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …

Almost Envy-Free Repeated Matching in Two-Sided Markets

S Gollapudi, K Kollias, B Plaut - Web and Internet Economics …, 2020 - books.google.com
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …

Almost Envy-Free Repeated Matching in Two-Sided Markets

S Gollapudi, K Kollias, B Plaut - International Conference on Web and …, 2020 - dl.acm.org
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …

Almost Envy-free Repeated Matching in Two-sided Markets

S Gollapudi, K Kollias, B Plaut - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …

Almost Envy-free Repeated Matching in Two-sided Markets

S Gollapudi, K Kollias, B Plaut - research.google
A two-sided market consists of two sets of agents, each of whom have preferences over the
other (Airbnb, Upwork, Lyft, Uber, etc.). We propose and analyze a repeated matching …