no code implementations • 13 May 2021 • Siddhartha Satpathi, R Srikant
We consider the dynamics of gradient descent (GD) in overparameterized single hidden layer neural networks with a squared loss function.
no code implementations • 2 Mar 2021 • Semih Cayci, Siddhartha Satpathi, Niao He, R. Srikant
In this paper, we study the dynamics of temporal difference learning with neural network-based value function approximation over a general state space, namely, \emph{Neural TD learning}.
1 code implementation • 10 Apr 2018 • Siddhartha Satpathi, Supratim Deb, R. Srikant, He Yan
One of the main contributions of the paper is a novel mapping of our problem which transforms it into a problem of topic discovery in documents.
no code implementations • 13 Mar 2013 • Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi
Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing.