Cover Image

Mitigating the Participation Bias by Balancing Extreme Ratings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Yongkang, Kong, Yuqing, Liu, Jialiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Surprising Benefits of Base Rate Neglect in Robust Aggregation
by: Kong, Yuqing, et al.
Published: (2024)

Algorithmic Robust Forecast Aggregation
by: Guo, Yongkang, et al.
Published: (2024)

Calibration without Ground Truth
by: Kong, Yuqing, et al.
Published: (2026)

How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports
by: Huang, Zhihuan, et al.
Published: (2024)

A New Benchmark for Online Learning with Budget-Balancing Constraints
by: Braverman, Mark, et al.
Published: (2025)

Reducing Optimism Bias in Incomplete Cooperative Games
by: Úradník, Filip, et al.
Published: (2024)

Ordinal Potential-based Player Rating
by: Vadori, Nelson, et al.
Published: (2023)

Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning
by: Fei, Yingjie, et al.
Published: (2024)

No-Regret Learning in Bilateral Trade via Global Budget Balance
by: Bernasconi, Martino, et al.
Published: (2023)

Balancing of competitive two-player Game Levels with Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2023)

Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
by: Scheid, Antoine, et al.
Published: (2024)

Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
by: Kong, Fang, et al.
Published: (2024)

Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias for Benchmark Aggregation
by: Berriaud, Damien, et al.
Published: (2025)

Optimal Rates for Feasible Payoff Set Estimation in Games
by: Barbara, Annalisa, et al.
Published: (2026)

Better Regret Rates in Bilateral Trade via Sublinear Budget Violation
by: Lunghi, Anna, 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)

Peer Expectation in Robust Forecast Aggregation: The Possibility/Impossibility
by: Kong, Yuqing
Published: (2024)

Balancing Participation and Decentralization in Proof-of-Stake Cryptocurrencies
by: Kiayias, Aggelos, et al.
Published: (2024)

Connecting GANs, MFGs, and OT
by: Cao, Haoyang, et al.
Published: (2020)

Fair Transit Stop Placement: A Clustering Perspective and Beyond
by: Aziz, Haris, et al.
Published: (2026)

Towards Performatively Stable Equilibria in Decision-Dependent Games for Arbitrary Data Distribution Maps
by: Zhong, Guangzheng, et al.
Published: (2025)

Data Pricing for Graph Neural Networks without Pre-purchased Inspection
by: Liu, Yiping, et al.
Published: (2025)

Fairness-aware Contextual Dynamic Pricing with Strategic Buyers
by: Liu, Pangpang, et al.
Published: (2025)

Offline Two-Player Zero-Sum Markov Games with KL Regularization
by: Chen, Claire, et al.
Published: (2026)

Group-wise oracle-efficient algorithms for online multi-group learning
by: Deng, Samuel, et al.
Published: (2024)

To Give or Not to Give? The Impacts of Strategically Withheld Recourse
by: Chen, Yatong, et al.
Published: (2025)

Regulation Games for Trustworthy Machine Learning
by: Yaghini, Mohammad, et al.
Published: (2024)

The Power of Regularization in Solving Extensive-Form Games
by: Liu, Mingyang, et al.
Published: (2022)

Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
by: Liu, Junyan, et al.
Published: (2026)

Incentivizing High-Quality Human Annotations with Golden Questions
by: Liu, Shang, et al.
Published: (2025)

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching
by: Shi, Zhekun, et al.
Published: (2025)

Decision Aggregation under Quantal Response
by: Huang, Zhihuan, et al.
Published: (2026)

Faster Rates for No-Regret Learning in General Games via Cautious Optimism
by: Soleymani, Ashkan, et al.
Published: (2025)

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
by: Chen, Mengmeng, et al.
Published: (2024)

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria
by: Yu, Eason, et al.
Published: (2025)

HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning
by: Wang, Hao, et al.
Published: (2023)

Strategic Costs of Perceived Bias in Fair Selection
by: Celis, L. Elisa, et al.
Published: (2025)

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
by: Bansak, Kirk, et al.
Published: (2020)

RuleSmith: Multi-Agent LLMs for Automated Game Balancing
by: Zeng, Ziyao, et al.
Published: (2026)