Distance-based methods in Machine Learning
Description: Senior Lecturer in Statistical Science, School of Mathematics, University of Bristol. Office GA.18 Fry Building, Woodland Road, BS8 1UG. Hobby Project: Juzhen, a C++ library for fast numerical computation and neural net applicaitons.
Senior Lecturer in Statistical Science, School of Mathematics , University of Bristol . Office GA.18 Fry Building, Woodland Road, BS8 1UG. Hobby Project: Juzhen , a C++ library for fast numerical computation and neural net applicaitons.
I am a statistical machine learning researcher and have been mostly working on Density Ratio Estimation . I have a vision that by comparing two density functions, many machine learning problems can be solved more elegantly and efficiently. You can read more about my vision on Machine Learning via Statistical Discrepancies .
If you are interested in doing a machine learning PhD at Bristol, please consider Compass - EPSRC Centre for Doctoral Training in Computational Statistics and Data Science . You can also directly apply for a PhD position at the university. Some scholarship (such as CSC ) are available.
Distance-based methods in Machine Learning