Latest Articles for Sample Complexity

A look into RAI within the multi-armed bandit framework to optimize decision-making.

New methods in multi-agent learning tackle challenges of diverse agents.

Exploring efficient algorithms for decentralized learning while preserving data privacy.

Exploring how quantum concepts can advance machine learning methods.

An overview of optimal sampling methods in least-squares approximation.

Key methods for measuring how close quantum states are to desired outcomes.

Examining how hard samples affect model performance and the reliability of test accuracy.

This article explores smooth boosting and its advantages in model training.

This article discusses neural networks that effectively blend approximation and generalization.

Explore the complexities of game strategies and decision-making techniques.

Learn how shadow tomography gathers data on quantum states efficiently.

This study explores sample complexity in list regression for improved predictions.

Discover effective strategies for informed decision-making in uncertain environments.

Learn how stochastic first-order methods simplify optimization challenges.

Learn how fingerprinting codes and algorithms protect your personal data.

Learn how to optimize deep learning tasks across devices effectively.

Understanding the pitfalls of reward hacking in AI systems and its implications.

Discover how continuous-variable systems are reshaping quantum research and technology.