Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking
Fuente:
arXiv
Guardado en:
| Autores principales: | Berry, Sean, Gorgulu, Berk, Tunc, Sait, Cevik, Mucahit, Ellis, Matthew J |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multilevel Fair Allocation with Matroid-Rank Preferences
por: Lucet, Maxime, et al.
Publicado: (2025)
por: Lucet, Maxime, et al.
Publicado: (2025)
Machine Learning-Powered Course Allocation
por: Soumalias, Ermis, et al.
Publicado: (2022)
por: Soumalias, Ermis, et al.
Publicado: (2022)
Facilitating Matches on Allocation Platforms
por: Trabelsi, Yohai, et al.
Publicado: (2025)
por: Trabelsi, Yohai, et al.
Publicado: (2025)
Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation
por: Ni, Zhengwei, et al.
Publicado: (2026)
por: Ni, Zhengwei, et al.
Publicado: (2026)
Simultaneously Fair Allocation of Indivisible Items Across Multiple Dimensions
por: Kawase, Yasushi, et al.
Publicado: (2025)
por: Kawase, Yasushi, et al.
Publicado: (2025)
Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed
por: Li, Xuejian, et al.
Publicado: (2024)
por: Li, Xuejian, et al.
Publicado: (2024)
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality
por: Podimata, Chara
Publicado: (2025)
por: Podimata, Chara
Publicado: (2025)
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation
por: Mertzanidis, Marios, et al.
Publicado: (2024)
por: Mertzanidis, Marios, et al.
Publicado: (2024)
A Ratio-Based Shapley Value for Collaborative Machine Learning - Extended Version
por: Filter, Björn, et al.
Publicado: (2025)
por: Filter, Björn, et al.
Publicado: (2025)
The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
por: Baharav, Carmel, et al.
Publicado: (2026)
por: Baharav, Carmel, et al.
Publicado: (2026)
Understanding EFX Allocations: Counting and Variants
por: Neoh, Tzeh Yuan, et al.
Publicado: (2025)
por: Neoh, Tzeh Yuan, et al.
Publicado: (2025)
Pushing the Frontier on Approximate EFX Allocations
por: Amanatidis, Georgios, et al.
Publicado: (2024)
por: Amanatidis, Georgios, et al.
Publicado: (2024)
Optimized Distortion in Linear Social Choice
por: Ge, Luise, et al.
Publicado: (2025)
por: Ge, Luise, et al.
Publicado: (2025)
Resource Allocation under the Latin Square Constraint
por: Kawase, Yasushi, et al.
Publicado: (2025)
por: Kawase, Yasushi, et al.
Publicado: (2025)
A Decision-Theoretic Approach for Managing Misalignment
por: Herrmann, Daniel A., et al.
Publicado: (2025)
por: Herrmann, Daniel A., et al.
Publicado: (2025)
Automated Approach for Solving Infinite-state Polynomial Reachability Games
por: Chatterjee, Krishnendu, et al.
Publicado: (2026)
por: Chatterjee, Krishnendu, et al.
Publicado: (2026)
A Constraint Programming Approach to Fair High School Course Scheduling
por: Kiyohara, Mitsuka, et al.
Publicado: (2024)
por: Kiyohara, Mitsuka, et al.
Publicado: (2024)
Linear Social Choice with Few Queries: A Moment-Based Approach
por: Ge, Luise, et al.
Publicado: (2026)
por: Ge, Luise, et al.
Publicado: (2026)
Learning the Value of Value Learning
por: London, Alex John, et al.
Publicado: (2025)
por: London, Alex John, et al.
Publicado: (2025)
Is Four Enough? Automated Reasoning Approaches and Dual Bounds for Condorcet Dimensions of Elections
por: Zilberstein, Itai, et al.
Publicado: (2026)
por: Zilberstein, Itai, et al.
Publicado: (2026)
Probabilistic Neuro-Symbolic Reasoning for Sparse Historical Data: A Framework Integrating Bayesian Inference, Causal Models, and Game-Theoretic Allocation
por: Kublashvili, Saba
Publicado: (2025)
por: Kublashvili, Saba
Publicado: (2025)
Categorical Approach to Conflict Resolution: Integrating Category Theory into the Graph Model for Conflict Resolution
por: Kato, Yukiko
Publicado: (2023)
por: Kato, Yukiko
Publicado: (2023)
Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers
por: Cao, Yuhan, et al.
Publicado: (2025)
por: Cao, Yuhan, et al.
Publicado: (2025)
The Ludii Game Description Language is Universal
por: Soemers, Dennis J. N. J., et al.
Publicado: (2022)
por: Soemers, Dennis J. N. J., et al.
Publicado: (2022)
DIML: Differentiable Inverse Mechanism Learning from Behaviors of Multi-Agent Learning Trajectories
por: An, Zhiyu, et al.
Publicado: (2026)
por: An, Zhiyu, et al.
Publicado: (2026)
Trustworthy Machine Learning under Social and Adversarial Data Sources
por: Shao, Han
Publicado: (2024)
por: Shao, Han
Publicado: (2024)
Surprisingly Popular Voting for Concentric Rank-Order Models
por: Hosseini, Hadi, et al.
Publicado: (2024)
por: Hosseini, Hadi, et al.
Publicado: (2024)
Ranking Abuse via Strategic Pairwise Data Perturbations
por: Yao, Junyi, et al.
Publicado: (2026)
por: Yao, Junyi, et al.
Publicado: (2026)
Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach
por: Kang, Jiawen, et al.
Publicado: (2024)
por: Kang, Jiawen, et al.
Publicado: (2024)
Inequality in Congestion Games with Learning Agents
por: Michailidis, Dimitris, et al.
Publicado: (2026)
por: Michailidis, Dimitris, et al.
Publicado: (2026)
On the Hardness of Fair Allocation under Ternary Valuations
por: Fitzsimmons, Zack, et al.
Publicado: (2024)
por: Fitzsimmons, Zack, et al.
Publicado: (2024)
Human-in-the-loop Learning for Dynamic Congestion Games
por: Li, Hongbo, et al.
Publicado: (2024)
por: Li, Hongbo, et al.
Publicado: (2024)
The Disparate Effects of Partial Information in Bayesian Strategic Learning
por: Avasarala, Srikanth, et al.
Publicado: (2025)
por: Avasarala, Srikanth, et al.
Publicado: (2025)
To Analyze and Regulate Human-in-the-loop Learning for Congestion Games
por: Li, Hongbo, et al.
Publicado: (2025)
por: Li, Hongbo, et al.
Publicado: (2025)
Learning in Repeated Multi-Objective Stackelberg Games with Payoff Manipulation
por: Srisawad, Phurinut, et al.
Publicado: (2025)
por: Srisawad, Phurinut, et al.
Publicado: (2025)
Learning from Synthetic Labs: Language Models as Auction Participants
por: Shah, Anand, et al.
Publicado: (2025)
por: Shah, Anand, et al.
Publicado: (2025)
A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts
por: Jha, Tushant, et al.
Publicado: (2019)
por: Jha, Tushant, et al.
Publicado: (2019)
Online Learning from Strategic Human Feedback in LLM Fine-Tuning
por: Hao, Shugang, et al.
Publicado: (2024)
por: Hao, Shugang, et al.
Publicado: (2024)
Look-ahead Reasoning with a Learned Model in Imperfect Information Games
por: Kubíček, Ondřej, et al.
Publicado: (2025)
por: Kubíček, Ondřej, et al.
Publicado: (2025)
Do Large Language Models Learn Human-Like Strategic Preferences?
por: Roberts, Jesse, et al.
Publicado: (2024)
por: Roberts, Jesse, et al.
Publicado: (2024)
Ejemplares similares
-
Multilevel Fair Allocation with Matroid-Rank Preferences
por: Lucet, Maxime, et al.
Publicado: (2025) -
Machine Learning-Powered Course Allocation
por: Soumalias, Ermis, et al.
Publicado: (2022) -
Facilitating Matches on Allocation Platforms
por: Trabelsi, Yohai, et al.
Publicado: (2025) -
Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation
por: Ni, Zhengwei, et al.
Publicado: (2026) -
Simultaneously Fair Allocation of Indivisible Items Across Multiple Dimensions
por: Kawase, Yasushi, et al.
Publicado: (2025)