{"total":18,"rows":[{"id":"2406.07428","title":"GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning","created":"2024-06-11","cited_by_count":14,"area":null},{"id":"2310.20096","title":"Data Market Design through Deep Learning","created":"2023-10-31","cited_by_count":8,"area":null},{"id":"2402.11904","title":"Automated Deterministic Auction Design with Objective Decomposition","created":"2024-02-19","cited_by_count":2,"area":null},{"id":"2402.14090","title":"Social Environment Design","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2603.07705","title":"Deep Incentive Design with Differentiable Equilibrium Blocks","created":"2026-03-08","cited_by_count":2,"area":null},{"id":"2402.09129","title":"Optimal Automated Market Makers: Differentiable Economics and Strong Duality","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2506.22911","title":"Learning Truthful Mechanisms without Discretization","created":"2025-06-28","cited_by_count":1,"area":null},{"id":"2401.05683","title":"Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications","created":"2024-01-11","cited_by_count":0,"area":null},{"id":"2405.12016","title":"Statistically Truthful Auctions via Acceptance Rule","created":"2024-05-20","cited_by_count":0,"area":null},{"id":"2406.15459","title":"Large-Scale Contextual Market Equilibrium Computation through Deep Learning","created":"2024-06-11","cited_by_count":0,"area":null},{"id":"2410.17500","title":"Learning Fair and Preferable Allocations through Neural Network","created":"2024-10-23","cited_by_count":0,"area":null},{"id":"2410.19384","title":"Learning Neural Strategy-Proof Matching Mechanism from Examples","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2504.05355","title":"Deep Learning for Double Auction","created":"2025-04-07","cited_by_count":0,"area":null},{"id":"2507.07418","title":"Optimal Auction Design in the Joint Advertising","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2509.04477","title":"Universal Representation of Generalized Convex Functions and their Gradients","created":"2025-08-30","cited_by_count":0,"area":null},{"id":"2601.17678","title":"DIML: Differentiable Inverse Mechanism Learning from Behaviors of Multi-Agent Learning Trajectories","created":"2026-01-25","cited_by_count":0,"area":null},{"id":"2602.09455","title":"Enhancing Affine Maximizer Auctions with Correlation-Aware Payment","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2606.10112","title":"Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning","created":"2026-06-08","cited_by_count":0,"area":null}],"next_cursor":null}