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10/14/2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Increased use of sensor signals from wearable devices as rich sources of...
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10/13/2022
Learning Multivariate CDFs and Copulas using Tensor Factorization
Learning the multivariate distribution of data is a core challenge in st...
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06/20/2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
Learning generative probabilistic models is a core problem in machine le...
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10/30/2020
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity
Feature selection by maximizing high-order mutual information between th...
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08/27/2020
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach
Effective non-parametric density estimation is a key challenge in high-d...
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