Advances in Fairness and Computation

The field of computational complexity and fairness is moving towards a deeper understanding of the interplay between randomized and pseudodeterministic communication protocols. Recent work has shown an exponential separation between these two models, highlighting the importance of pseudodeterminism in achieving efficient communication. Furthermore, researchers are exploring new approaches to fair division, including the allocation of indivisible items and the consideration of social impact. Notable papers in this area include 'Pseudodeterministic Communication Complexity', which exhibits a partial function with randomized communication complexity O(log n) but requires randomized communication complexity n^Ω(1) for any completion of this function into a total one. Another noteworthy paper is 'Fair Multi-agent Persuasion with Submodular Constraints', which presents a signaling policy that achieves a logarithmically approximate majorized policy in the setting of Bayesian persuasion with submodular constraints.

Sources

Pseudodeterministic Communication Complexity

Dynamic Allocation of Public Goods with Approximate Core Equilibria

Persuading Stable Matching

Optimal Selection Using Algorithmic Rankings with Side Information

Fair Division with Indivisible Goods, Chores, and Cake

Confidentiality in a Card-Based Protocol Under Repeated Biased Shuffles

Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls

Centralized Group Equitability and Individual Envy-Freeness in the Allocation of Indivisible Items

Dividing Indivisible Items for the Benefit of All: It is Hard to Be Fair Without Social Awareness

Classification in Equilibrium: Structure of Optimal Decision Rules

Fair Multi-agent Persuasion with Submodular Constraints

Formal Verification of Diffusion Auctions

Random Permutations in Computational Complexity

Minimal Regret Walras Equilibria for Combinatorial Markets

Understanding the Impact of Proportionality in Approval-Based Multiwinner Elections

Minimal Regret Walras Equilibria for Combinatorial Markets via Duality, Integrality, and Sensitivity Gaps

Built with on top of