Stochastic Mirror Descent on Overparameterized Nonlinear Models [pdf] [cite] N. Azizan R., S. Lale, and B. Hassibi Submitted
Improving Distributed Gradient Descent Using Reed-Solomon Codes [pdf] [cite] W. Halbawi, N. Azizan R., F. Salehi, and B. Hassibi Submitted to the IEEE Transactions on Information Theory
An Empirical Evaluation of Equilibrium-Constrained Pricing in Electricity Markets N. Azizan R., Y. Su, and A. Wierman
Analysis of Exact and Approximated Epidemic Models over Complex Networks [pdf] [cite] N. Azizan R., H. J. Ahn, and B. Hassibi
Optimal Pricing in Markets with Non-Convex Costs [pdf] [cite] N. Azizan R., Y. Su, K. Dvijotham, and A. Wierman Operations Research (OR), forthcoming
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus [pdf] [cite] N. Azizan R., F. Lahouti, S. Avestimehr, and B. Hassibi IEEE Transactions on Signal Processing (TSP), 2019
Opportunities for Price Manipulation by Aggregators in Electricity Markets [pdf] [short version] [cite] N. Azizan R., K. Dvijotham, N. Chen, and A. Wierman IEEE Transactions on Smart Grid (TSG), 2017 ACM Performance Evaluation Review (PER), 2016
Orthogonal Gradient Descent for Continual Learning [pdf] [cite] M. Farajtabar, N. Azizan R., A. Mott, and A. Li International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Optimal Pricing in Markets with Non-Convex Costs [pdf] [cite] N. Azizan R., Y. Su, K. Dvijotham, and A. Wierman Proceedings of the ACM Conference on Economics and Computation (EC), 2019
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization [pdf] [cite] N. Azizan R., S. Lale, and B. Hassibi International Conference on Machine Learning (ICML) Generalization Workshop, 2019
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization [pdf] [cite] N. Azizan R. and B. Hassibi International Conference on Learning Representations (ICLR), 2019 Neural Information Processing Systems (NeurIPS) Deep Learning Theory Workshop, 2018
A Stochastic Interpretation of Stochastic Mirror Descent: Risk-Sensitive Optimality [pdf] [cite] N. Azizan R. and B. Hassibi Proceedings of the IEEE Conference on Decision and Control (CDC), 2019
A Characterization of Stochastic Mirror Descent Algorithms and their Convergence Properties [pdf] [cite] N. Azizan R. and B. Hassibi Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Opportunities for Price Manipulation by Aggregators in Electricity Markets [pdf] [short version] [cite] N. Azizan R., K. Dvijotham, N. Chen, and A. Wierman ACM GREENMETRICS, 2016 (Best Student Paper Award)
Improving Distributed Gradient Descent Using Reed-Solomon Codes [pdf] [cite] W. Halbawi, N. Azizan R., F. Salehi, and B. Hassibi Proceedings of the IEEE International Symposium on Information Theory (ISIT), 2018
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus [pdf] [cite] N. Azizan R., F. Lahouti, S. Avestimehr, and B. Hassibi Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Improved Bounds on the Epidemic Threshold of Exact SIS Models on Complex Networks [pdf] [cite] N. Azizan R., C. Thrampoulidis, and B. Hassibi Proceedings of the IEEE Conference on Decision and Control (CDC), 2016 (Invited Paper)
SIRS Epidemics on Complex Networks: Concurrence of Exact Markov Chain and Approximated Models [pdf] [cite] N. Azizan R. and B. Hassibi Proceedings of the IEEE Conference on Decision and Control (CDC), 2015 (Invited Paper)
Multiscale Modeling of Biological Communication [pdf] [cite] N. Azizan R. and P. Bogdan Proceedings of the IEEE International Conference on Communications (ICC), 2015
The author orders are not alphabetical. [relative contribution + last author: PI]