Nilesh Tripuraneni

10 papers and 85 indexed citations i.

Nilesh Tripuraneni has authored 10 papers that have received a total of 85 indexed citations. This includes 8 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Management Science and Operations Research. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Nilesh Tripuraneni is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Markov Chains and Monte Carlo Methods (2 papers) and collaborates with scholars based in United States and United Kingdom. Nilesh Tripuraneni's co-authors include Michael I. Jordan, Chi Jin, Jeffrey Regier, Tathagata Dasgupta and Samuel B. Hopkins and has published in prestigious journals such as Proceedings of the National Academy of Sciences