The time complexity of LVM training has been addressed through parallel training algorithms (Wolfe et al., 2008;Chu et al., 2006;Das et al., 2007;Newman et al., 2009;Ahmed et al., 2012;Asuncion et al., 2011), which reduce LVM training time through the use of large computational clusters.
the memory cost for training LVMs remains a bottleneck.