Virginia Smith
About
Virginia Smith has authored 11 papers that have received a total of 1.1k indexed citations.
This includes 11 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Computer Science Applications. The topics of these papers are Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (5 papers) and Machine Learning and Data Classification (2 papers). Virginia Smith is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (5 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in United States, Israel and United Kingdom. Virginia Smith's co-authors include Ahmad Beirami, Tian Li, Ameet Talwalkar, Michael I. Jordan and Maziar Sanjabi and has published in prestigious journals such as IEEE Signal Processing Magazine, Journal of Machine Learning Research and Proceedings of the VLDB Endowment
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