Negative dependence

A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes, ICML, 2019
Learning Determinantal Point Processes by Corrective Negative Sampling, AISTATS, 2019
Learning with generalized negative dependence : probabilistic models of diversity for machine learning, PhD Thesis, 2019
DppNet: Approximating Determinantal Point Processes with Deep Networks, NeurIPS, 2019
Exponentiated Strongly Rayleigh Distributions, NeurIPS, 2018
Maximizing Induced Cardinality Under a Determinantal Point Process, NeurIPS, 2018
Elementary Symmetric Polynomials for Optimal Experimental Design, NeurIPS, 2017
Kronecker Determinantal Point Processes, NeurIPS, 2016
Diversity Networks: Neural Network Compression Using Determinantal Point Processes, ICLR, 2016
Fixed-point algorithms for learning determinantal point processes, ICML, 2015

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