194 citations · 270 across the 13 of their papers we have counts for
6 papers · 1 filter
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Recent works have shown that imposing tensor structures on the coefficient tensor in regression problems can lead to more reliable parameter estimation and lower sample complexity…
Improved Differentially Private Decentralized Source Separation for fMRI Data
Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva +4
Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. In order to leverage larger sample sizes, diff…
Optimal Rates for Learning Hidden Tree Structures
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
We provide high probability finite sample complexity guarantees for hidden non-parametric structure learning of tree-shaped graphical models, whose hidden and observable nodes are…
Predictive Learning on Hidden Tree-Structured Ising Models
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
We provide high-probability sample complexity guarantees for exact structure recovery and accurate predictive learning using noise-corrupted samples from an acyclic (tree-shaped) g…
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
Hafiz Imtiaz, Anand D. Sarwate
In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed priva…
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker stru…