Learning Fair and Preferable Allocations through Neural Network
Fuente:
arXiv
Saved in:
| Main Authors: | Maruo, Ryota, Takeuchi, Koh, Kashima, Hisashi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Neural Strategy-Proof Matching Mechanism from Examples
by: Maruo, Ryota, et al.
Published: (2024)
by: Maruo, Ryota, et al.
Published: (2024)
Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
by: Maruo, Ryota, et al.
Published: (2024)
by: Maruo, Ryota, et al.
Published: (2024)
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
by: Sumita, Yasuaki, et al.
Published: (2024)
by: Sumita, Yasuaki, et al.
Published: (2024)
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
by: Lu, Xiaotian, et al.
Published: (2024)
by: Lu, Xiaotian, et al.
Published: (2024)
Evaluating Saliency Explanations in NLP by Crowdsourcing
by: Lu, Xiaotian, et al.
Published: (2024)
by: Lu, Xiaotian, et al.
Published: (2024)
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)
by: Rigaux, Tomas, et al.
Published: (2024)
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
by: Lin, Xiaofeng, et al.
Published: (2026)
by: Lin, Xiaofeng, et al.
Published: (2026)
Long-Term Outlier Prediction Through Outlier Score Modeling
by: Aoki, Yuma, et al.
Published: (2026)
by: Aoki, Yuma, et al.
Published: (2026)
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
by: Cao, Tianxiao, et al.
Published: (2025)
by: Cao, Tianxiao, et al.
Published: (2025)
MACC: Multi-Agent Collaborative Competition for Scientific Exploration
by: Oyama, Satoshi, et al.
Published: (2026)
by: Oyama, Satoshi, et al.
Published: (2026)
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
by: Kimura, Daichi, et al.
Published: (2025)
by: Kimura, Daichi, et al.
Published: (2025)
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
by: Takahashi, Katsumi, et al.
Published: (2025)
by: Takahashi, Katsumi, et al.
Published: (2025)
Multilevel Fair Allocation with Matroid-Rank Preferences
by: Lucet, Maxime, et al.
Published: (2025)
by: Lucet, Maxime, et al.
Published: (2025)
Transfer Learning with Pre-trained Conditional Generative Models
by: Yamaguchi, Shin'ya, et al.
Published: (2022)
by: Yamaguchi, Shin'ya, et al.
Published: (2022)
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
by: Park, Joon, et al.
Published: (2025)
by: Park, Joon, et al.
Published: (2025)
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models
by: Sun, Yaqi, et al.
Published: (2025)
by: Sun, Yaqi, et al.
Published: (2025)
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks
by: Park, Beomchul, et al.
Published: (2026)
by: Park, Beomchul, et al.
Published: (2026)
From Efficiency to Equity: Measuring Fairness in Preference Learning
by: Gowaikar, Shreeyash, et al.
Published: (2024)
by: Gowaikar, Shreeyash, et al.
Published: (2024)
Fair Resource Allocation for Fleet Intelligence
by: Baser, Oguzhan, et al.
Published: (2025)
by: Baser, Oguzhan, et al.
Published: (2025)
Neural Double Auction Mechanism
by: Suehara, Tsuyoshi, et al.
Published: (2024)
by: Suehara, Tsuyoshi, et al.
Published: (2024)
ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)
by: Sium, Yonas, et al.
Published: (2024)
A Generalized Model for Multidimensional Intransitivity
by: Duan, Jiuding, et al.
Published: (2024)
by: Duan, Jiuding, et al.
Published: (2024)
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
by: Li, Yikuan, et al.
Published: (2023)
by: Li, Yikuan, et al.
Published: (2023)
NeuFair: Neural Network Fairness Repair with Dropout
by: Dasu, Vishnu Asutosh, et al.
Published: (2024)
by: Dasu, Vishnu Asutosh, et al.
Published: (2024)
FairProof : Confidential and Certifiable Fairness for Neural Networks
by: Yadav, Chhavi, et al.
Published: (2024)
by: Yadav, Chhavi, et al.
Published: (2024)
Testing Individual Fairness in Graph Neural Networks
by: Nasiri, Roya
Published: (2025)
by: Nasiri, Roya
Published: (2025)
LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferences
by: Damle, Sankarshan, et al.
Published: (2025)
by: Damle, Sankarshan, et al.
Published: (2025)
The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
by: Geng, Scott, et al.
Published: (2025)
by: Geng, Scott, et al.
Published: (2025)
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
by: Luo, Renqiang, et al.
Published: (2024)
by: Luo, Renqiang, et al.
Published: (2024)
Fair Graph Neural Network with Supervised Contrastive Regularization
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
Online Policy Learning from Offline Preferences
by: Zhang, Guoxi, et al.
Published: (2024)
by: Zhang, Guoxi, et al.
Published: (2024)
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
by: Xu, Xiaoyang, et al.
Published: (2025)
by: Xu, Xiaoyang, et al.
Published: (2025)
Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation
by: Lu, Yun, et al.
Published: (2026)
by: Lu, Yun, et al.
Published: (2026)
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)
by: Lerner, Emilia Agis, et al.
Published: (2024)
Optimizing Fairness in Production Planning: A Human-Centric Approach to Machine and Workforce Allocation
by: Nasuta, Alexander, et al.
Published: (2025)
by: Nasuta, Alexander, et al.
Published: (2025)
GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching
by: Shah, Rishi Ashish, et al.
Published: (2025)
by: Shah, Rishi Ashish, et al.
Published: (2025)
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)
by: Sasaki, Yuya
Published: (2025)
FnRGNN: Distribution-aware Fairness in Graph Neural Network
by: Park, Soyoung, et al.
Published: (2025)
by: Park, Soyoung, et al.
Published: (2025)
Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have)
by: Miyashita, Hisashi
Published: (2026)
by: Miyashita, Hisashi
Published: (2026)
Similar Items
-
Learning Neural Strategy-Proof Matching Mechanism from Examples
by: Maruo, Ryota, et al.
Published: (2024) -
Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
by: Maruo, Ryota, et al.
Published: (2024) -
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
by: Sumita, Yasuaki, et al.
Published: (2024) -
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
by: Lu, Xiaotian, et al.
Published: (2024) -
Evaluating Saliency Explanations in NLP by Crowdsourcing
by: Lu, Xiaotian, et al.
Published: (2024)