Ronak Mehta
Scholar

Ronak Mehta

Google Scholar ID: xrUVILAAAAAJ
Ph.D. Student, University of Washington
statistical machine learninginformation theorymultitask learning
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Citations & Impact
All-time
Citations
136
 
H-index
7
 
i10-index
3
 
Publications
20
 
Co-authors
15
list available
Contact
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Education
  • Ph.D. from the Department of Statistics at the University of Washington, advised by Zaid Harchaoui; Undergraduate and Master’s student in the Department of Applied Mathematics and Statistics at Johns Hopkins University, advised by Joshua T. Vogelstein and Carey Priebe.
Background
  • Broadly interested in machine learning and optimization. Current research focuses on optimization and statistical learning methods across a number of applications, including distributional robustness and self-supervised learning.
Co-authors
15 total
Joshua T. Vogelstein
Joshua T. Vogelstein
Dept of Biomedical Engineering, Johns Hopkins University
Hayden Helm
Hayden Helm
Helivan
Jayanta Dey
Jayanta Dey
Postdoctoral Fellow, UTSA
Co-author 4
Co-author 4
Carey E. Priebe
Carey E. Priebe
Professor of Applied Mathematics and Statistics, Johns Hopkins University
Cencheng Shen
Cencheng Shen
University of Delaware
Weiwei Yang
Weiwei Yang
Microsoft Research, Caltech
Will LeVine
Will LeVine
Microsoft