DPPs are a very well-studied class of distributions on subsets of items drawn from a ground set of cardinality characterized by a symmetric n × n kernel matrix such that the probability of any subset is proportional to the determinant of its corresponding principal submatrix.
May 22, 2024
Apr 29, 2018 · Here, we propose a dynamic DPP, which is a DPP whose kernel can change over time, and develop efficient learning algorithms for the dynamic DPP.
Mar 15, 2023 · Here, we propose a dynamic DPP, which is a DPP whose kernel can change over time, and develop efficient learning algorithms for the dynamic DPP.
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What are determinantal point processes?
In mathematics, a determinantal point process is a stochastic point process, the probability distribution of which is characterized as a determinant of some function. Such processes arise as important tools in random matrix theory, combinatorics, physics, and wireless network modeling.
What are the different types of point processes?
Thus, there are two types of point processes: temporal point processes and spatial point processes. The representation of physical events as point processes is based on two major assumptions. The first is that the physical events must be pointlike in the sense of occupying a small area in the relevant domain.
Dynamic Determinantal Point Processes. We study a determinantal point process (DPP) whose kernel can vary over time. Let L(t) be the kernel of the DPP at ...
Abstract. Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory.
Oct 31, 2022 · Abstract:Discrete Determinantal Point Processes (DPPs) have a wide array of potential applications for subsampling datasets.
The determinantal point process (DPP) has been receiving increasing attention in machine learning as a generative model of subsets consisting of relevant ...
2018) . As a result, Determinantal SARSA involves the gradient of the log determinant that also appears in the learning algorithms in Gartrell, Paquet, and ...
Bibliographic details on Dynamic Determinantal Point Processes.
Sep 3, 2023 · In the paper, we extend this relationship to encompass dynamical aspects. Especially, we delve into two types of determinantal point processes.