Prateek Jain

69 papers and 2.4k indexed citations i.

Prateek Jain has authored 69 papers that have received a total of 2.4k indexed citations. This includes 60 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Mechanics. The topics of these papers are Stochastic Gradient Optimization Techniques (16 papers), Machine Learning and Algorithms (13 papers) and Sparse and Compressive Sensing Techniques (11 papers). Prateek Jain is often cited by papers focused on Stochastic Gradient Optimization Techniques (16 papers), Machine Learning and Algorithms (13 papers) and Sparse and Compressive Sensing Techniques (11 papers) and collaborates with scholars based in United States, India and United Kingdom. Prateek Jain's co-authors include Inderjit S. Dhillon, Sham M. Kakade, Praneeth Netrapalli, Kristen Grauman and Purushottam Kar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Optimization and IBM Journal of Research and Development.