State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives

Determinantal point processes (DPPs) have emerged as a kernelized alternative to vanilla independent sampling for generating efficient minibatches, coresets and other parsimonious representations of large-scale datasets. While theoretical foundations and promising empirical performance have been dem...