Cover Image

Proper Dataset Valuation by Pointwise Mutual Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Shuran, Qi, Xuan, Chen, Rui Ray, Kwon, Yongchan, Zou, James
Format:	Preprint
Published:	2024
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

Towards Data Valuation via Asymmetric Data Shapley
by: Zheng, Xi, et al.
Published: (2024)

DUPRE: Data Utility Prediction for Efficient Data Valuation
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)

Do Data Valuations Make Good Data Prices?
by: Fan, Dongyang, et al.
Published: (2025)

Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data
by: Pang, Chuwen, et al.
Published: (2026)

Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation
by: Yang, Xuan, et al.
Published: (2026)

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
by: Garrido-Lucero, Felipe, et al.
Published: (2023)

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
by: Chi, Hongliang, et al.
Published: (2025)

CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
by: Cai, Huaiguang
Published: (2024)

Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance
by: Zhao, Hangyi
Published: (2026)

Data Valuation for LLM Fine-Tuning: Efficient Shapley Value Approximation via Language Model Arithmetic
by: Tamine, Mélissa, et al.
Published: (2025)

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities
by: Wehbi, Osama, et al.
Published: (2024)

On the Impact of the Utility in Semivalue-based Data Valuation
by: Tamine, Mélissa, et al.
Published: (2025)

Efficient Last-Iterate Convergence in Regret Minimization via Adaptive Reward Transformation
by: Ren, Hang, et al.
Published: (2025)

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations
by: Cesa-Bianchi, Nicolò, et al.
Published: (2023)

Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
by: Tsoy, Nikita, et al.
Published: (2024)

Dynamic Shapley Computation
by: Yang, Xuan, et al.
Published: (2026)

Is Online Linear Optimization Sufficient for Strategic Robustness?
by: Cai, Yang, et al.
Published: (2026)

On Tractable $Φ$-Equilibria in Non-Concave Games
by: Cai, Yang, et al.
Published: (2024)

Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games
by: Cai, Yang, et al.
Published: (2025)

Feedback Control for Small Budget Pacing
by: Apparaju, Sreeja, et al.
Published: (2025)

Regret Minimization in Stackelberg Games with Side Information
by: Harris, Keegan, et al.
Published: (2024)

An Instrumental Value for Data Production and its Application to Data Pricing
by: Ai, Rui, et al.
Published: (2024)

Partially Observable Stochastic Games with Neural Perception Mechanisms
by: Yan, Rui, et al.
Published: (2023)

Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
by: Masoumian, Alireza, et al.
Published: (2024)

Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
by: Lei, Qi, et al.
Published: (2020)

Online Learning for Equilibrium Pricing in Markets under Incomplete Information
by: Jalota, Devansh, et al.
Published: (2023)

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
by: Balcan, Maria-Florina, et al.
Published: (2025)

A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design
by: Ai, Rui, et al.
Published: (2022)

State-Constrained Zero-Sum Differential Games with One-Sided Information
by: Ghimire, Mukesh, et al.
Published: (2024)

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning
by: Fan, Zhiyuan, et al.
Published: (2026)

The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning
by: Han, Bin, et al.
Published: (2026)

Is This Predictor More Informative than Another? A Decision-Theoretical Comparison
by: Feng, Yiding, 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)

Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
by: Peralez, Johan, et al.
Published: (2024)

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

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
by: Li, Boning, et al.
Published: (2024)

Pointwise Convergence in Games with Conflicting Interest
by: Zhou, Nanxiang, et al.
Published: (2025)

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
by: Xin, Yun, et al.
Published: (2025)

How to Evaluate Behavioral Models
by: d'Eon, Greg, et al.
Published: (2023)

Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthful Incentives with Convergence Guarantees
by: Chen, Ziqin, et al.
Published: (2026)