Praneeth Netrapalli

46 papers and 1.4k indexed citations i.

Praneeth Netrapalli has authored 46 papers that have received a total of 1.4k indexed citations. This includes 35 papers in Artificial Intelligence, 20 papers in Computational Mechanics and 9 papers in Signal Processing. The topics of these papers are Sparse and Compressive Sensing Techniques (20 papers), Stochastic Gradient Optimization Techniques (20 papers) and Blind Source Separation Techniques (8 papers). Praneeth Netrapalli is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Stochastic Gradient Optimization Techniques (20 papers) and Blind Source Separation Techniques (8 papers) and collaborates with scholars based in United States, India and United Kingdom. Praneeth Netrapalli's co-authors include Chi Jin, Sujay Sanghavi, Sham M. Kakade, Prateek Jain and Animashree Anandkumar and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Journal of the ACM.