163 citations · 704 across the 74 of their papers we have counts for
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Learning Robust Representations for Computer Vision
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy +1
Unsupervised learning techniques in computer vision often require learning latent representations, such as low-dimensional linear and non-linear subspaces. Noise and outliers in th…
Time Series Using Exponential Smoothing Cells
Avner Abrami, Aleksandr Y. Aravkin, Younghun Kim
Time series analysis is used to understand and predict dynamic processes, including evolving demands in business, weather, markets, and biological rhythms. Exponential smoothing is…
Estimating Shape Parameters of Piecewise Linear-Quadratic Problems
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy
Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. Common examples of PLQ penalties inc…