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On a Guided Nonnegative Matrix Factorization
Fully unsupervised topic models have found fantastic success in document...
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On Application of Block Kaczmarz Methods in Matrix Factorization
Matrix factorization techniques compute low-rank product approximations ...
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Semi-supervised NMF Models for Topic Modeling in Learning Tasks
We propose several new models for semi-supervised nonnegative matrix fac...
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Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Often in applications ranging from medical imaging and sensor networks t...
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Feature Selection on Lyme Disease Patient Survey Data
Lyme disease is a rapidly growing illness that remains poorly understood...
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On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
There is currently an unprecedented demand for large-scale temporal data...
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Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin
Stochastic iterative algorithms have gained recent interest in machine l...
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On Inferences from Completed Data
Matrix completion has become an extremely important technique as data sc...
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Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing
Machine learning algorithms typically rely on optimization subroutines a...
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Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions
In applications like medical imaging, error correction, and sensor netwo...
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Randomized Projection Methods for Corrupted Linear Systems
In applications like medical imaging, error correction, and sensor netwo...
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