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03/26/2023
Dynamic Subspace Estimation with Grassmannian Geodesics
Dynamic subspace estimation, or subspace tracking, is a fundamental prob...
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05/18/2020
Scaling-up Distributed Processing of Data Streams for Machine Learning
Emerging applications of machine learning in numerous areas involve cont...
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01/04/2020
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis
This paper considers the problem of estimating the principal eigenvector...
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11/09/2019
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
This paper studies a tensor-structured linear regression model with a sc...
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12/25/2014