Tamara Kolda
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- Gilbert Louis Bernstein9 talks
- Jonathan Ragan-Kelley12 talks
- Manya Bansal4 talks
- Anima Anandkumar7 talks
- Tobias Grosser14 talks
| title | conference | date |
|---|---|---|
| Randomized Least Squares Optimization and its Incredible Utility for Large-Scale Tensor Decomp... | Extroverted Sublinear Algorithms 2024 | 2024-06-17 |
Randomized approximate leverage-score sampling uses the Khatri–Rao structure of tensor ALS least-squares to avoid forming the giant design matrix, sampling… | ||
| Tamara Kolda, Distinguished Member of Technical Staff, Sandia National Laboratories @ MLconf SF Part | MLconf SF 2014 | 2014-11-14 |
A focused survey of canonical polyadic (CP/PARAFAC) decompositions shows how 3D data such as time-evolving networks is written as sums of rank-one components… | ||
| Tamara Kolda, Distinguished Member of Technical Staff, Sandia National Laboratories @ MLconf SF Part | MLconf SF 2014 | 2014-11-14 |
Describes using CP (CANDECOMP/PARAFAC) decompositions with a Poisson tensor factorization objective (KL divergence) for count data, enforcing nonnegative… | ||
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