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Tamara G. Kolda

Ramki

Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

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Aug 11, 2024
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Convergence of Alternating Gradient Descent for Matrix Factorization

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May 11, 2023
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Tensor Moments of Gaussian Mixture Models: Theory and Applications

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Feb 14, 2022
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Streaming Generalized Canonical Polyadic Tensor Decompositions

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Oct 27, 2021
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Randomized Algorithms for Scientific Computing (RASC)

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Apr 19, 2021
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Stochastic Gradients for Large-Scale Tensor Decomposition

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Jun 04, 2019
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XPCA: Extending PCA for a Combination of Discrete and Continuous Variables

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Aug 22, 2018
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Generalized Canonical Polyadic Tensor Decomposition

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Aug 22, 2018
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COMET: A Recipe for Learning and Using Large Ensembles on Massive Data

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Sep 08, 2011
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All-at-once Optimization for Coupled Matrix and Tensor Factorizations

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May 17, 2011
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