2 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ML2021★ 1 cited
Copula Quadrant Similarity for Anomaly Scores
Matthew Davidow, David Matteson
Practical anomaly detection requires applying numerous approaches due to the inherent difficulty of unsupervised learning. Direct comparison between complex or opaque anomaly detec…
stat.ML2020★ 2 cited
Factor Analysis of Mixed Data for Anomaly Detection
Matthew Davidow, David S. Matteson
Anomaly detection aims to identify observations that deviate from the typical pattern of data. Anomalous observations may correspond to financial fraud, health risks, or incorrectl…
stat.ML2018
Scalable Lévy Process Priors for Spectral Kernel Learning
Phillip A. Jang, Andrew E. Loeb, Matthew B. Davidow +1
Gaussian processes are rich distributions over functions, with generalization properties determined by a kernel function. When used for long-range extrapolation, predictions are pa…