Nash Social Welfare
PulseAugur coverage of Nash Social Welfare — every cluster mentioning Nash Social Welfare across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New AI framework PriorityNet optimizes resource allocation with EF1 and NSW
Researchers have developed a deep reinforcement learning framework called PriorityNet to address the allocation of indivisible goods while satisfying envy-freeness up to one good (EF1) and maximizing Nash social welfare…
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New algorithm balances fairness and stability in matching problems
Researchers have developed a new algorithm, SNSW-Alg, designed to address fairness in stable matching problems. This algorithm aims to maximize Nash Social Welfare, a measure of fairness, while maintaining the stability…
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New SVD method simplifies multi-dimensional matching markets
Researchers have developed a novel, computationally efficient mechanism for multi-dimensional matching markets. This new approach uses Singular Value Decomposition (SVD) to simplify complex preference matching into a on…
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Researchers explore dueling bandits for robust context, fairness, and unknown delays
Two new research papers explore advancements in dueling bandit algorithms, a technique used in machine learning for preference data. The first paper addresses challenges like unknown delays and adversarial corruptions i…