Scholar
Vinodchandran Variyam
Google Scholar ID: iCrL0MUAAAAJ
Professor, Computer Science and Engineering, University of Nebraska-Lincoln
Citations & Impact
Citations
641
H-index
14
i10-index
21
Publications
20
Co-authors
18
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publications: ITCS 2021, STOC 2022, NeurIPS 2023 (spotlight), NeurIPS 2024 (to appear), ICML 2020, NeurIPS 2020, ALT 2021, STOC 2021, AISTATS 2022, SWAT 2016, ACM BMB 2017, PODS 2021, PODS 2022, ICSE 2022, ESA 2022, PODS 2024
- - Awards: Best of PODS 2021, SIGMOD Research Highlight Award, CACM Research Highlight Award
Research Experience
- - Professor, School of Computing, University of Nebraska - Lincoln
- - Current Research Themes: Reproducibility in randomized computations, sample efficiency in learning and testing, algorithms for streaming data
Background
- - Research Interests: Fundamental computational efficiency concerns in computer science
- - Areas of Expertise: Computational complexity theory, machine learning, and large data management
- - Brief Introduction: Made significant contributions to complexity theory, with current research themes including reproducibility in randomized computations, sample efficiency in distribution learning and testing, and algorithms for streaming data.
