Non-asymptotic Properties of Generalized Mondrian Forests in Statistical
Learning
Non-asymptotic Properties of Generalized Mondrian Forests in Statistical
Learning
Since the publication of Breiman (2001), Random Forests (RF) have been widely used in both regression and classification. Later on, other forests are also proposed and studied in literature and Mondrian Forests are notable examples built on the Mondrian process; see Lakshminarayanan et al. (2014). In this paper, we propose …