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stat.ML2021★ 9 cited
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Learning generative probabilistic models is a core problem in machine learning, which presents significant challenges due to the curse of dimensionality. This paper proposes a join…
stat.ML2020★ 12 cited
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Effective non-parametric density estimation is a key challenge in high-dimensional multivariate data analysis. In this paper,we propose a novel approach that builds upon tensor fac…