Learning Truthful Mechanisms without Discretization
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Yunxuan, Wang, Siqiang, Duan, Zhijian, Cheng, Yukun, Deng, Xiaotie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Scalable Neural Network for DSIC Affine Maximizer Auction Design
by: Duan, Zhijian, et al.
Published: (2023)
by: Duan, Zhijian, et al.
Published: (2023)
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers
by: Sun, Haoran, et al.
Published: (2025)
by: Sun, Haoran, et al.
Published: (2025)
Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs
by: Cheng, Yukun, et al.
Published: (2025)
by: Cheng, Yukun, et al.
Published: (2025)
Large-Scale Contextual Market Equilibrium Computation through Deep Learning
by: Ma, Yunxuan, et al.
Published: (2024)
by: Ma, Yunxuan, et al.
Published: (2024)
Automated Deterministic Auction Design with Objective Decomposition
by: Duan, Zhijian, et al.
Published: (2024)
by: Duan, Zhijian, et al.
Published: (2024)
Are Bounded Contracts Learnable and Approximately Optimal?
by: Chen, Yurong, et al.
Published: (2024)
by: Chen, Yurong, et al.
Published: (2024)
Nash Convergence of Mean-Based Learning Algorithms in First-Price Auctions
by: Deng, Xiaotie, et al.
Published: (2021)
by: Deng, Xiaotie, et al.
Published: (2021)
Mechanism Design for Exchange Markets
by: Zheng, Yusen, et al.
Published: (2024)
by: Zheng, Yusen, et al.
Published: (2024)
Mechanism Design for Auctions with Externalities on Budgets
by: Zheng, Yusen, et al.
Published: (2025)
by: Zheng, Yusen, et al.
Published: (2025)
Incentivizing Truthful Language Models via Peer Elicitation Games
by: Chen, Baiting, et al.
Published: (2025)
by: Chen, Baiting, et al.
Published: (2025)
An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising
by: Duan, Zhijian, et al.
Published: (2025)
by: Duan, Zhijian, et al.
Published: (2025)
Calibration without Ground Truth
by: Kong, Yuqing, et al.
Published: (2026)
by: Kong, Yuqing, et al.
Published: (2026)
Will AI Trade? A Computational Inversion of the No-Trade Theorem
by: Li, Hanyu, et al.
Published: (2025)
by: Li, Hanyu, et al.
Published: (2025)
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
by: Goel, Naman
Published: (2023)
by: Goel, Naman
Published: (2023)
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
by: Diaz, Manfred, et al.
Published: (2024)
by: Diaz, Manfred, et al.
Published: (2024)
Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
by: Sun, Haoran, et al.
Published: (2026)
by: Sun, Haoran, et al.
Published: (2026)
Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
by: Qiu, Tianyi Alex, et al.
Published: (2026)
by: Qiu, Tianyi Alex, et al.
Published: (2026)
Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism
by: Wen, Garrett G., et al.
Published: (2026)
by: Wen, Garrett G., et al.
Published: (2026)
Ex-Ante Truthful Distribution-Reporting Mechanisms
by: Deng, Xiaotie, et al.
Published: (2025)
by: Deng, Xiaotie, et al.
Published: (2025)
Governing AI Forgetting: Auditing for Machine Unlearning Compliance
by: Lin, Qinqi, et al.
Published: (2026)
by: Lin, Qinqi, et al.
Published: (2026)
ElicitationGPT: Text Elicitation Mechanisms via Language Models
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms
by: Xu, Shengwei, et al.
Published: (2024)
by: Xu, Shengwei, et al.
Published: (2024)
Truthful mechanisms for linear bandit games with private contexts
by: Hu, Yiting, et al.
Published: (2025)
by: Hu, Yiting, et al.
Published: (2025)
Deep Reinforcement Learning for Sequential Combinatorial Auctions
by: Ravindranath, Sai Srivatsa, et al.
Published: (2024)
by: Ravindranath, Sai Srivatsa, et al.
Published: (2024)
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
by: Wang, Tonghan, et al.
Published: (2024)
by: Wang, Tonghan, et al.
Published: (2024)
LOQA: Learning with Opponent Q-Learning Awareness
by: Aghajohari, Milad, et al.
Published: (2024)
by: Aghajohari, Milad, et al.
Published: (2024)
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
by: Wan, Zelin, et al.
Published: (2024)
by: Wan, Zelin, et al.
Published: (2024)
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
by: Yuwono, Steve, et al.
Published: (2024)
by: Yuwono, Steve, et al.
Published: (2024)
Learning and Collusion in Multi-unit Auctions
by: Brânzei, Simina, et al.
Published: (2023)
by: Brânzei, Simina, et al.
Published: (2023)
Machine Learning-Powered Course Allocation
by: Soumalias, Ermis, et al.
Published: (2022)
by: Soumalias, Ermis, et al.
Published: (2022)
Ad Insertion in LLM-Generated Responses
by: Xu, Shengwei, et al.
Published: (2026)
by: Xu, Shengwei, et al.
Published: (2026)
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning
by: Yu, Ryan, et al.
Published: (2024)
by: Yu, Ryan, et al.
Published: (2024)
An Auction-based Marketplace for Model Trading in Federated Learning
by: Cui, Yue, et al.
Published: (2024)
by: Cui, Yue, et al.
Published: (2024)
Knowledge-Free Correlated Agreement for Incentivizing Federated Learning
by: Witt, Leon, et al.
Published: (2026)
by: Witt, Leon, et al.
Published: (2026)
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
by: Li, Yingru, et al.
Published: (2024)
by: Li, Yingru, et al.
Published: (2024)
Trustworthy Machine Learning under Social and Adversarial Data Sources
by: Shao, Han
Published: (2024)
by: Shao, Han
Published: (2024)
Deep (Predictive) Discounted Counterfactual Regret Minimization
by: Xu, Hang, et al.
Published: (2025)
by: Xu, Hang, et al.
Published: (2025)
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives
by: Chen, Kongyang, et al.
Published: (2024)
by: Chen, Kongyang, et al.
Published: (2024)
Online Test Synthesis From Requirements: Enhancing Reinforcement Learning with Game Theory
by: Sankur, Ocan, et al.
Published: (2024)
by: Sankur, Ocan, et al.
Published: (2024)
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
by: Xu, Hang, et al.
Published: (2024)
by: Xu, Hang, et al.
Published: (2024)
Similar Items
-
A Scalable Neural Network for DSIC Affine Maximizer Auction Design
by: Duan, Zhijian, et al.
Published: (2023) -
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers
by: Sun, Haoran, et al.
Published: (2025) -
Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs
by: Cheng, Yukun, et al.
Published: (2025) -
Large-Scale Contextual Market Equilibrium Computation through Deep Learning
by: Ma, Yunxuan, et al.
Published: (2024) -
Automated Deterministic Auction Design with Objective Decomposition
by: Duan, Zhijian, et al.
Published: (2024)