Dr. Varun Kanade
Varun Kanade is a Research Lecturer in the Department of Computer Science, Oxford University. He has been a Simons Postdoctoral Fellow at the University of California, Berkeley and an FSMP postdoctoral fellow at ENS, Paris. He obtained his Ph.D. from Harvard University in 2012. His research interests are in machine learning and theoretical computer science. At the ATI, his research will focus on mathematical foundations of machine learning, in particular computational and statistical tradeoffs and improving our understanding of methods that have been successful in practice.
Selected Publications
Kanade, V., Levi, R., Lotker, Z., Mallmann-Trenn, F. and Mathieu, C. (2016) ‘Distance in the Forest Fire model how far are you from eve?’, 27th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2016).
Kanade, V., Mossel, E. and Schramm, T. (2016) ‘Global and local information in clustering labelled block models’, 18th International Workshop on Randomization and Computation (RANDOM 2014), . doi: 10.1109/TIT.2016.2516564.
Hanneke, S., Kanade, V. and Yang, L. (2015) ‘Learning with a drifting target concept’, 26th Annual International Conference on Algorithmic Learning Theory (ALT 2015), pp. 149–164. doi: 10.1007/978-3-319-24486-0_10.
Abbasi-Yadkori, Y., Bartlett, P. and Kanade, V. (2014) ‘Tracking adversarial targets’, 31st International Conference on Machine Learning (ICML 2014) .
