166 citations · 514 across the 44 of their papers we have counts for
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Deep Neural Network Approximation using Tensor Sketching
Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
Deep neural networks are powerful learning models that achieve state-of-the-art performance on many computer vision, speech, and language processing tasks. In this paper, we study…
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk +2
Understanding properties of deep neural networks is an important challenge in deep learning. In this paper, we take a step in this direction by proposing a rigorous way of verifyin…
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression
Shiva Prasad Kasiviswanathan, Mark Rudelson
High-dimensional settings, where the data dimension () far exceeds the number of observations (), are common in many statistical and machine learning applications. Methods ba…
Private Incremental Regression
Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin
Data is continuously generated by modern data sources, and a recent challenge in machine learning has been to develop techniques that perform well in an incremental (streaming) set…