Arthur Gretton

This method combines diffusion models and GANs to generate high-quality data samples effectively.

A look at regularized algorithms and their impact on machine learning performance.

Data balancing is crucial for fairness and accuracy in machine learning models.

A new method for estimating conditional expectations efficiently in uncertain environments.

New algorithms improve decision-making with multiple rewards in reinforcement learning.

A look into DrMMD and its application for better data distribution modeling.

A new method boosts AI's understanding of cause and effect.