Accelerating boosting via accelerated greedy coordinate descent

Xiaomeng Ju
Xiaomeng Ju
PhD candidate in Statistics

I am a PhD student in Statistics at the University of British Columbia, advised by Professor Matias Salibian-Barrera. She received her BSc in Statistics from Renmin University of China, and MA in Statistics from University of Michigan. Xiaomeng’s research is centred on computational statistics with a special focus on robust statistics and functional data. Her ongoing thesis work develops gradient boosting methods for regression problems with complex data.