Scholar
Parikshit Gopalan
Google Scholar ID: fb2-dasAAAAJ
Apple
Citations & Impact
Citations
4,205
H-index
29
i10-index
58
Publications
20
Co-authors
50
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers on loss minimization, fairness, and indistinguishability, such as 'Omnipredictors' (with Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, and Udi Wieder), 'Loss minimization through the lens of outcome indistinguishability' (with Lunjia Hu, Michael P. Kim, Omer Reingold, and Udi Wieder). Also published a paper on locality of a codeword symbol (with Cheng Huang, Huseyin Simitci, and Sergey Yekhanin), which won the 2014 Information Theory/Communication Society joint paper prize.
Research Experience
- Currently a machine learning researcher at Apple; Previously worked at VMware Research and Microsoft Research (Redmond and Silicon Valley).
Education
- Graduate student at Georgia Tech; Undergraduate at IIT Bombay.
Background
- A machine learning researcher with interests in the interplay between multigroup fairness, loss minimization, and indistinguishability, as well as calibration, distribution drift, and anomaly detection. He has broad interests in theoretical computer science, including coding and information theory, pseudorandomness, and computational complexity.
Miscellany
- Contact: parikg at apple or gmail.
