Imagen de Portada

Response Time Enhances Alignment with Heterogeneous Preferences

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Echenique, Federico, Fallah, Alireza, Huang, Baihe, Jordan, Michael I.
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Computer Science and Game Theory Theoretical Economics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fair Allocation in Dynamic Mechanism Design
por: Fallah, Alireza, et al.
Publicado: (2024)

A General Framework for Estimating Preferences Using Response Time Data
por: Echenique, Federico, et al.
Publicado: (2025)

The Limits of Price Discrimination Under Privacy Constraints
por: Fallah, Alireza, et al.
Publicado: (2024)

On Three-Layer Data Markets
por: Fallah, Alireza, et al.
Publicado: (2024)

Binary Mechanisms under Privacy-Preserving Noise
por: Pourbabaee, Farzad, et al.
Publicado: (2023)

Swap Bounded Envy
por: Echenique, Federico, et al.
Publicado: (2025)

Emergent Alignment via Competition
por: Collina, Natalie, et al.
Publicado: (2025)

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators
por: Liu, Shang, et al.
Publicado: (2025)

Calibeating Made Simple
por: Chen, Yurong, et al.
Publicado: (2026)

Networked Information Aggregation via Machine Learning
por: Kearns, Michael, et al.
Publicado: (2025)

Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium
por: Liu, Kaizhao, et al.
Publicado: (2025)

Relying on the Metrics of Evaluated Agents
por: Wang, Serena, et al.
Publicado: (2024)

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
por: Haupt, Andreas, et al.
Publicado: (2026)

Revisiting Fairness Impossibility with Endogenous Behavior
por: Penn, Elizabeth Maggie, et al.
Publicado: (2026)

Networked Information Aggregation for Binary Classification
por: Bateni, MohammadHossein, et al.
Publicado: (2026)

From No-Regret to Strategically Robust Learning in Repeated Auctions
por: Zhao, Junyao
Publicado: (2026)

Multiplayer Bandit Learning, from Competition to Cooperation
por: Brânzei, Simina, et al.
Publicado: (2019)

The Bounds of Algorithmic Collusion; $Q$-learning, Gradient Learning, and the Folk Theorem
por: Askenazi-Golan, Galit, et al.
Publicado: (2024)

A Linear Theory of Multi-Winner Voting
por: Xia, Lirong
Publicado: (2025)

Persuading a Behavioral Agent: Approximately Best Responding and Learning
por: Chen, Yiling, et al.
Publicado: (2023)

Algorithmic Collusion Without Threats
por: Arunachaleswaran, Eshwar Ram, et al.
Publicado: (2024)

Exploration and Persuasion
por: Slivkins, Aleksandrs
Publicado: (2024)

Competing Bandits: The Perils of Exploration Under Competition
por: Aridor, Guy, et al.
Publicado: (2020)

Swim till You Sink: Computing the Limit of a Game
por: Hakim, Rashida, et al.
Publicado: (2024)

Learning to Coordinate Bidders in Non-Truthful Auctions
por: Fu, Hu, et al.
Publicado: (2025)

Online Assortment and Price Optimization Under Contextual Choice Models
por: Erginbas, Yigit Efe, et al.
Publicado: (2025)

Randomized Truthful Auctions with Learning Agents
por: Aggarwal, Gagan, et al.
Publicado: (2024)

Deep Learning for Double Auction
por: Liu, Jiayin, et al.
Publicado: (2025)

Learning to Play Multi-Follower Bayesian Stackelberg Games
por: Personnat, Gerson, et al.
Publicado: (2025)

"Calibeating": Beating Forecasters at Their Own Game
por: Foster, Dean P., et al.
Publicado: (2022)

How to Sell High-Dimensional Data Optimally
por: Li, Andrew, et al.
Publicado: (2025)

Eliciting Informed Preferences
por: Camara, Modibo K., et al.
Publicado: (2025)

Settling the Score: Portioning with Cardinal Preferences
por: Elkind, Edith, et al.
Publicado: (2023)

Fair Division with Two-Sided Preferences
por: Igarashi, Ayumi, et al.
Publicado: (2022)

Coordinating Charitable Donations with Leontief Preferences
por: Brandt, Felix, et al.
Publicado: (2023)

Continuous-Time Best-Response and Related Dynamics in Tullock Contests with Convex Costs
por: Elkind, Edith, et al.
Publicado: (2024)

Playing Divide-and-Choose Given Uncertain Preferences
por: Tucker-Foltz, Jamie, et al.
Publicado: (2022)

Intergenerational Preferences and Continuity: Reconciling Order and Topology
por: Estevan, Asier, et al.
Publicado: (2024)

Marketplace Operators Can Induce Competitive Pricing
por: Ding, Tiffany, et al.
Publicado: (2025)

A Revealed Preference Framework for AI Alignment
por: Suleymanov, Elchin
Publicado: (2026)