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12/07/2022
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue
Entrainment is the phenomenon by which an interlocutor adapts their spea...
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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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05/11/2021
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Real-world spatio-temporal data is often incomplete or inaccurate due to...
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12/08/2020
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Accurate prediction of the transmission of epidemic diseases such as COV...
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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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09/26/2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
The data deluge comes with high demands for data labeling. Crowdsourcing...
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04/02/2019
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm
We study the problem of learning a mixture model of non-parametric produ...
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12/01/2017
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors
Estimating the joint probability mass function (PMF) of a set of random ...
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02/16/2017