I am a final-year PhD student working with Ben Recht.
I broadly work on the foundations of machine learning -- specifically the study and analysis of empirical phenomena.
Currently I am interested in understanding the connections between kernel machines and neural networks
I will be joining a special projects team at Amazon in the fall.
You can contact me at vaishaal at berkeley dot edu
Shankar, V., Fang, A., Guo, W., Fridovich-Keil, S., Schmidt, L., Ragan-Kelley, J., & Recht, B. (2020). Neural Kernels Without Tangents. arXiv preprint arXiv:2003.02237. pdf
Shankar, V.*, Dave, A.*, Roelofs, R., Ramanan, D., Recht, B., & Schmidt, L. (2019). Do Image Classifiers Generalize Across Time? arXiv preprint arXiv:1906.02168. pdf
Shankar, V., Krauth, K., Pu, Q., Jonas, E., Venkataraman, S., Stoica, I., Recht, B., & Ragan-Kelley, J. (2018). numpywren: serverless linear algebra. arXiv preprint arXiv:1810.09679 pdf
Roelofs, R.,Fridovich-Keil, S. Miller, J., Shankar, V., Hardt, M., Recht, B., & Schmidt, L. (2019). A Meta-Analysis of Overfitting in Machine Learning. In Advances in Neural Information Processing Systems (pp. 9175-9185).
Recht, B., Roelofs, R., Schmidt, L. & Shankar, V.. (2019). Do ImageNet Classifiers Generalize to ImageNet?. Proceedings of the 36th International Conference on Machine Learning pdf
Jonas, E., Bobra, M., Shankar, V., Hoeksema, J. T., & Recht, B. (2018). Flare prediction using photospheric and coronal image data. Solar Physics, 293(3), 48.
Morrow, A., Shankar, V, Petersohn, D., Yosef, N., Recht, B., Joseph, A.D (2016, December). Convolutional Kitchen Sinks for Transcription Factor Binding Site Prediction. NIPS Workshop on Machine Learning in Computational Biology pdf talk
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.