Saved in:
| Main Authors: | d'Eon, Greg, Greenwood, Sophie, Leyton-Brown, Kevin, Wright, James R. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2306.04778 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games
by: d'Eon, Greg, et al.
Published: (2025)
by: d'Eon, Greg, et al.
Published: (2025)
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
by: d'Eon, Greg, et al.
Published: (2024)
by: d'Eon, Greg, et al.
Published: (2024)
A Formal Separation Between Strategic and Nonstrategic Behavior
by: Wright, James R., et al.
Published: (2018)
by: Wright, James R., et al.
Published: (2018)
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
by: Masoumian, Alireza, et al.
Published: (2024)
by: Masoumian, Alireza, et al.
Published: (2024)
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)
by: Sychrovský, David, et al.
Published: (2025)
Near-Linear MIR Algorithms for Stochastically-Ordered Priors
by: Bahar, Gal, et al.
Published: (2025)
by: Bahar, Gal, et al.
Published: (2025)
Online Stackelberg Optimization via Nonlinear Control
by: Brown, William, et al.
Published: (2024)
by: Brown, William, et al.
Published: (2024)
NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants
by: Lundy, Taylor, et al.
Published: (2025)
by: Lundy, Taylor, et al.
Published: (2025)
Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design
by: Pourbabaee, Farzad, et al.
Published: (2025)
by: Pourbabaee, Farzad, et al.
Published: (2025)
Learning Optimal Contracts: How to Exploit Small Action Spaces
by: Bacchiocchi, Francesco, et al.
Published: (2023)
by: Bacchiocchi, Francesco, et al.
Published: (2023)
On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games under Noisy Feedback
by: Maiti, Arnab, et al.
Published: (2023)
by: Maiti, Arnab, et al.
Published: (2023)
Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It
by: Kim, Dongseok, et al.
Published: (2025)
by: Kim, Dongseok, et al.
Published: (2025)
How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics
by: Chen, Yurong, et al.
Published: (2026)
by: Chen, Yurong, et al.
Published: (2026)
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
by: Maiti, Arnab, et al.
Published: (2025)
by: Maiti, Arnab, et al.
Published: (2025)
Bayesian Strategic Classification
by: Cohen, Lee, et al.
Published: (2024)
by: Cohen, Lee, et al.
Published: (2024)
On the Universal Near Optimality of Hedge in Combinatorial Settings
by: Fan, Zhiyuan, et al.
Published: (2025)
by: Fan, Zhiyuan, et al.
Published: (2025)
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)
by: Liu, Junyan, et al.
Published: (2025)
WeShap: Weak Supervision Source Evaluation with Shapley Values
by: Guan, Naiqing, et al.
Published: (2024)
by: Guan, Naiqing, et al.
Published: (2024)
Re-evaluating Open-ended Evaluation of Large Language Models
by: Liu, Siqi, et al.
Published: (2025)
by: Liu, Siqi, et al.
Published: (2025)
Efficient Uncoupled Learning Dynamics with $\tilde{O}\!\left(T^{-1/4}\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
by: Maiti, Arnab, et al.
Published: (2026)
by: Maiti, Arnab, et al.
Published: (2026)
Online Recommendations for Agents with Discounted Adaptive Preferences
by: Agarwal, Arpit, et al.
Published: (2023)
by: Agarwal, Arpit, et al.
Published: (2023)
How to Sell High-Dimensional Data Optimally
by: Li, Andrew, et al.
Published: (2025)
by: Li, Andrew, et al.
Published: (2025)
Proper Dataset Valuation by Pointwise Mutual Information
by: Zheng, Shuran, et al.
Published: (2024)
by: Zheng, Shuran, et al.
Published: (2024)
Revisiting Fairness Impossibility with Endogenous Behavior
by: Penn, Elizabeth Maggie, et al.
Published: (2026)
by: Penn, Elizabeth Maggie, et al.
Published: (2026)
Empirical Validation of the Independent Chip Model
by: Kim, Juho
Published: (2025)
by: Kim, Juho
Published: (2025)
The Limitations of Model Retraining in the Face of Performativity
by: Kabra, Anmol, et al.
Published: (2024)
by: Kabra, Anmol, et al.
Published: (2024)
Understanding Model Selection For Learning In Strategic Environments
by: Handina, Tinashe, et al.
Published: (2024)
by: Handina, Tinashe, et al.
Published: (2024)
Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
by: Wei, Xiukun, et al.
Published: (2026)
by: Wei, Xiukun, et al.
Published: (2026)
Leaderboard Incentives: Model Rankings under Strategic Post-Training
by: Chen, Yatong, et al.
Published: (2026)
by: Chen, Yatong, et al.
Published: (2026)
Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration
by: Zhao, Gaoxiang, et al.
Published: (2025)
by: Zhao, Gaoxiang, et al.
Published: (2025)
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression
by: Anjarlekar, Ameya, et al.
Published: (2023)
by: Anjarlekar, Ameya, et al.
Published: (2023)
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
by: Lv, Xinpeng, et al.
Published: (2025)
by: Lv, Xinpeng, et al.
Published: (2025)
Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
by: Tang, Xiaohang, et al.
Published: (2025)
by: Tang, Xiaohang, et al.
Published: (2025)
Mechanism Design for Decentralized Risk Detection: Strict Propriety, Network Coalitions, and the Backfiring Mandat
by: Ni, Jian, et al.
Published: (2026)
by: Ni, Jian, et al.
Published: (2026)
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
by: Xu, Renzhe, et al.
Published: (2025)
by: Xu, Renzhe, et al.
Published: (2025)
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
by: Immorlica, Nicole, et al.
Published: (2024)
by: Immorlica, Nicole, et al.
Published: (2024)
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning
by: Shi, Zhuan, et al.
Published: (2024)
by: Shi, Zhuan, et al.
Published: (2024)
Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
by: Badanidiyuru, Ashwinkumar
Published: (2026)
by: Badanidiyuru, Ashwinkumar
Published: (2026)
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
by: Fang, Zeyu, et al.
Published: (2024)
by: Fang, Zeyu, et al.
Published: (2024)
Similar Items
-
ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games
by: d'Eon, Greg, et al.
Published: (2025) -
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
by: d'Eon, Greg, et al.
Published: (2024) -
A Formal Separation Between Strategic and Nonstrategic Behavior
by: Wright, James R., et al.
Published: (2018) -
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
by: Masoumian, Alireza, et al.
Published: (2024) -
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)