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Found 6 papers, 2 papers with code
Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes
In this paper, we attempt to detect an inflection or change-point resulting from the Covid-19 pandemic on supply chain data received from a large furniture company.
Neural Spectral Marked Point Processes
In this paper, we introduce a novel and general neural network-based non-stationary influence kernel with high expressiveness for handling complex discrete events data while providing theoretical performance guarantees.
Sequential change-point detection for mutually exciting point processes over networks
We present a new CUSUM procedure for sequentially detecting change-point in the self and mutual exciting processes, a. k. a.
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
Existing results on this model require prior knowledge about the reward interval size as an input to their algorithms.
Uncertainty Quantification for Inferring Hawkes Networks
Multivariate Hawkes processes are commonly used to model streaming networked event data in a wide variety of applications.
Musical Instrument Classification via Low-Dimensional Feature Vectors
Music is a mysterious language that conveys feeling and thoughts via different tones and timbre.
