8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Depth Dependence of P Learning Rates in ReLU MLPs
Samy Jelassi, Boris Hanin, Ziwei Ji +3
In this short note we consider random fully connected ReLU networks of width and depth equipped with a mean-field weight initialization. Our purpose is to study the depende…
stat.ML2016★ 8 cited
Single Pass PCA of Matrix Products
Shanshan Wu, Srinadh Bhojanapalli, Sujay Sanghavi +1
In this paper we present a new algorithm for computing a low rank approximation of the product by taking only a single pass of the two matrices and . The straightforw…
cs.DS2014
Tighter Low-rank Approximation via Sampling the Leveraged Element
Srinadh Bhojanapalli, Prateek Jain, Sujay Sanghavi
In this work, we propose a new randomized algorithm for computing a low-rank approximation to a given matrix. Taking an approach different from existing literature, our method firs…