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Tamara Kolda - Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition
Physics Informed Machine Learning
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A Mathematician's View of Machine Learning (and Why It Matters) | Tamara Kolda
WiDS Worldwide
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Tensor Decompositions: A Quick Tour of Illustrative Applications
Society for Industrial and Applied Mathematics (SIAM)
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IP02: Efficient Computation of Low-Rank Approximations to Higher-Order Moments
SIAM Conference on Applied Algebraic Geometry 2019
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Monday Webinar - Generalized Tensor Decomposition. Utility for Data Analysis
Chemometrics & Machine Learning in Copenhagen
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VecHGrad for solving accurately tensor decomposition
Canadian Conference on Artificial Intelligence
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