Research conducted by Tongliang Liu. If you are interested in the research and would like to have a discuss with me, please feel free to contact me.

Statistical learning theory

"There is nothing more practical than a good theory."

- Kurt Lewin

Project: hypothesis complexity measurement

Statistical learning theory provides the mathematical and theoretical foundations for statistical learning algorithms and inspires the development of more efficient methods. We are interested in how to measure the complexity of the algorithmic hypothesis class, which is a subset of the predefined hypothesis class that a learning algorithm will (or is likely to) output. Finding such a small subset will give us insights on explaining how learning algorithms work.

Causal inference

"Causes are causes; Effects are effects." "As you sow, so you reap."

- Chinese philosopher quotes

Project: causal direction and causal strength

This research is to answer the question: "Why?"