The Yale Statistical Machine Learning Group carries out research and training in machine learning with an emphasis on statistical analysis and principles. The group is directed by Prof. John Lafferty in the Department of Statistics and Data Science within the Faculty of Arts and Sciences at Yale. We are interested in a broad range of topics in machine learning, from theory and methodology to applications. Our group is increasingly focused on new computational frameworks for neuroscience.
We introduce a new type of robust estimation problem where the goal is to recover a statistical model that has been corrupted after it has been estimated from data. Methods...
Baohua Zhou has joined Yale as a postdoctoral scholar. Baohua did his PhD in theoretical physics at Emory University, where he had been modeling the sensorimotor learning of...
In Spring 2019 Yale offered a new course to enhance students’ knowledge and capabilities in the fundamental ideas and skills of data science. Based on Berkeley’s popular Data...
