I am a year graduate student working with Ben Recht.
My research interests lie in the intersection of machine learning and distributed systems. More specifically I am interested in the design, analysis and implementation of practical machine learning algorithms suitable for massive datasets.
You can contact me at vaishaal at eecs dot berkeley dot edu
This page is currently under (perpetual) construction
Shankar, V., Zhang, J., Chen, J., Dinh, C., Clements, M., & Zakhor, A. (2016, February). Approximate Subgraph Isomorphism for Image Localization. International Symposium on Electronic Imaging
Shankar, V., & Culler, D. (2015, March). A Modern Student Experience in Systems Programming. In Proceedings of the Second (2015) ACM Conference on Learning@ Scale (pp. 233-236). ACM.
Kantchelian, A., Tschantz, M. C., Afroz, S., Miller, B., Shankar, V., Bachwani, V., Bachwani, R., Joseph, A.D. & Tygar, J. D. (2015, October). Better malware ground truth: Techniques for weighting anti-virus vendor labels. In Proceedings of the Eigth ACM Workshop on Artificial Intelligence and Security (pp. 45-56). ACM.
Miller, B., Kantchelian, A., Tschantz, M.C., Afroz, S., Bahwani, R., Faizullabhoy, R., Huang, L., Shankar, V., Wu, T., Yiu, G., Joseph, A.D. & Tygar, J. D (2016 July). Reviewer Integration and Performance Measurement for Malware Detection. 13th Conference on Detection of Intrusions and Malware & Vulnerability Assessment
Iliopoulos, F., Moulous, V., Shankar, V., & Simchowitz, M. Gradients for the Loss!.
Git for advanced beginners - Git slide deck I made a couple years ago
Tutorials - A list of tutorials on various mathy things curated by my good friend Achal Dave
Is Thirteen? - I have nothing to do with this but very useful tool.
I am an officer in the Cal Running Club, a low stress social running club that meets at Kroeber 5:30 pm every week day (during the school year). Come say hi!