Cover Image

Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Namba, Hiroyuki, Horiguchi, Shota, Hamamoto, Masaki, Egi, Masashi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Cleansing for GANs
by: Terashita, Naoyuki, et al.
Published: (2025)

Flickering Multi-Armed Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)

Multi-Armed Bandits With Best-Action Queries
by: Bacchiocchi, Francesco, et al.
Published: (2026)

Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)

Large Language Model-Enhanced Multi-Armed Bandits
by: Sun, Jiahang, et al.
Published: (2025)

Multi-Armed Bandits-Based Optimization of Decision Trees
by: Shanto, Hasibul Karim, et al.
Published: (2025)

Global Rewards in Restless Multi-Armed Bandits
by: Raman, Naveen, et al.
Published: (2024)

IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Health
by: Jain, Gauri, et al.
Published: (2024)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
by: Xiong, Guojun, et al.
Published: (2024)

Annealed Softmax Greedy in Many-Armed Bayesian Bandits
by: Overman, William, et al.
Published: (2026)

Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
by: Ji, Kaixuan, et al.
Published: (2026)

On the Benefits of Free Exploration for Regret Minimization in Multi-Armed Bandits
by: Hou, Yunlong, et al.
Published: (2026)

Federated Combinatorial Multi-Agent Multi-Armed Bandits
by: Fourati, Fares, et al.
Published: (2024)

Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network
by: Tu, Haoyu, et al.
Published: (2024)

Online Prompt Pricing based on Combinatorial Multi-Armed Bandit and Hierarchical Stackelberg Game
by: Li, Meiling, et al.
Published: (2024)

ParBalans: Parallel Multi-Armed Bandits-based Adaptive Large Neighborhood Search
by: Yilmaz, Alican, et al.
Published: (2025)

In-Run Data Shapley for Adam Optimizer
by: Ding, Meng, et al.
Published: (2026)

On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization
by: Ji, Kaixuan, et al.
Published: (2026)

Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)

KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
by: Ran, Dezhi, et al.
Published: (2025)

Is Data Shapley Not Better than Random in Data Selection? Ask NASH
by: Tian, Xiao, et al.
Published: (2026)

Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
by: Sharma, Shradha, et al.
Published: (2026)

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints
by: Vaishnav, Shubham, et al.
Published: (2025)

Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
by: Balef, Amir Rezaei, et al.
Published: (2025)

Decisions and Deployment: The Five-Year SAHELI Project (2020-2025) on Restless Multi-Armed Bandits for Improving Maternal and Child Health
by: Verma, Shresth, et al.
Published: (2026)

Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
by: Behari, Nikhil, et al.
Published: (2024)

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem
by: Cai, Junyang, et al.
Published: (2024)

Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
by: Xing, Sixue, et al.
Published: (2026)

Leveraging Offline Data in Linear Latent Contextual Bandits
by: Kausik, Chinmaya, et al.
Published: (2024)

Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed Bandit
by: Anita, Stefana, et al.
Published: (2024)

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
by: Wang, Jingtan, et al.
Published: (2024)

Prompt Optimization with Logged Bandit Data
by: Kiyohara, Haruka, et al.
Published: (2025)

On the Inflation of KNN-Shapley Value
by: Yang, Ziao, et al.
Published: (2024)

An Odd Estimator for Shapley Values
by: Fumagalli, Fabian, et al.
Published: (2026)

Suboptimal Shapley Value Explanations
by: Lu, Xiaolei
Published: (2025)

When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
by: Nia, Bahar Dibaei, et al.
Published: (2026)

Causally Abstracted Multi-armed Bandits
by: Zennaro, Fabio Massimo, et al.
Published: (2024)

Deceptive Exploration in Multi-armed Bandits
by: Vurankaya, I. Arda, et al.
Published: (2025)