Scholar
Karan Singh
Google Scholar ID: PZJIgZUAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
1,912
H-index
17
i10-index
21
Publications
20
Co-authors
18
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- He has published numerous papers in top conferences such as the International Conference on Machine Learning (ICML), Neural Information Processing Systems (NeurIPS), including 'Sample-Optimal Agnostic Boosting with Unlabeled Data' and 'Faster Global Minimum Cut with Predictions'.
Research Experience
- He was a postdoc at Microsoft Research and has been involved in several research projects, particularly in the areas of online learning, reinforcement learning, and nonstochastic control.
Education
- He completed his PhD in Computer Science at Princeton University, advised by Elad Hazan. Following this, he was a postdoc at Microsoft Research in Redmond. He was an undergraduate in Computer Science at Indian Institute of Technology (IIT) Kanpur.
Background
- Karan Singh is an Assistant Professor of Operations Research at the Tepper School of Business at Carnegie Mellon University. His research interests lie in the algorithmic aspects of machine learning, particularly interactive learning paradigms like reinforcement learning. He also studies online learning, mathematical optimization, statistics, and control theory.
Miscellany
- He co-authored a new text on 'Introduction to Online Nonstochastic Control' with Elad Hazan.
