Search Results for author: Ioakeim Perros

Found 7 papers, 1 papers with code

COPA: Constrained PARAFAC2 for Sparse & Large Datasets

1 code implementation12 Mar 2018 Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce Ho, Jimeng Sun

To tackle these challenges, we propose a {\it CO}nstrained {\it PA}RAFAC2 (COPA) method, which carefully incorporates optimization constraints such as temporal smoothness, sparsity, and non-negativity in the resulting factors.

SPARTan: Scalable PARAFAC2 for Large & Sparse Data

no code implementations13 Mar 2017 Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun

For example, when modeling medical features across a set of patients, the number and duration of treatments may vary widely in time, meaning there is no meaningful way to align their clinical records across time points for analysis purposes.

SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling

no code implementations NeurIPS 2016 Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros

In this paper, we show ways of sampling intermediate steps of alternating minimization algorithms for computing low rank tensor CP decompositions, leading to the sparse alternating least squares (SPALS) method.

Sparse Hierarchical Tucker Factorization and its Application to Healthcare

no code implementations25 Oct 2016 Ioakeim Perros, Robert Chen, Richard Vuduc, Jimeng Sun

It can also do so more accurately and in less time than the state-of-the-art: on a 12th order subset of the input data, Sparse H-Tucker is 18x more accurate and 7. 5x faster than a previously state-of-the-art method.

Guaranteed Scalable Learning of Latent Tree Models

no code implementations18 Jun 2014 Furong Huang, Niranjan U. N., Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar

We present an integrated approach for structure and parameter estimation in latent tree graphical models.

Cannot find the paper you are looking for? You can Submit a new open access paper.