Kun Zhang

A new method improves causal discovery accuracy using automated kernel selection.

A study on identifying causal relationships amidst hidden variables and measurement errors.

This paper discusses continual learning of causal relations without losing previous knowledge.

Recent studies show photon subtraction can improve the purity of Gaussian states.

A novel approach to understanding variable relationships in changing environments.

Learn the tactics behind sharing information in negotiations.

A novel method for efficient hyperparameter tuning and cost management in AI training.

Learn how causal discovery helps us connect different factors in various fields.