Publications

Understanding Deep Neural Networks with Rectified Linear Units.
(α-β order) Raman Arora, Amitabh Basu, Poorya Mianjy, and Anirbit Mukherjee.
Proceedings of the International Conference on Learning Representations (ICLR), 2018.
[paper]

Stochastic Approximation for Canonical Correlation Analysis.
(α-β order) Raman Arora, Teodor Marinov, Poorya Mianjy, Nathan Srebro
Advances in Neural Information Processing Systems (NIPS), 2017.
[paper]

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares.
Raman Arora, Poorya Mianjy, and Teodor Marinov.
Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016.
[paper][code]

Teaching Experience

Fall 15: Teaching Assistant for EN600.479 Representation Learning, Johns Hopkins U.

Spring 15: Teaching Assistant for EN600.675 Statistical Machine Learning, Johns Hopkins U.

Fall 14: Teaching Assistant for EN600.475 Introduction to Machine Learning, Johns Hopkins U.

Spring 14: Teaching Assistant for CE40.725 Statistical Pattern Recognition, Sharif U. of Technology

Fall 09: Teaching Assistant for CE40.695 Stochastic Processes, Sharif U. of Technology