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Navid Azizan
Navid Azizan
Esther & Harold E. Edgerton Assistant Professor, MIT
Dirección de correo verificada de mit.edu - Página principal
Título
Citado por
Citado por
Año
Orthogonal Gradient Descent for Continual Learning
M Farajtabar, N Azizan, A Mott, A Li
Artificial Intelligence and Statistics (AISTATS), 2020
3482020
Improving distributed gradient descent using reed-solomon codes
W Halbawi, N Azizan, F Salehi, B Hassibi
2018 IEEE International Symposium on Information Theory (ISIT), 2027-2031, 2018
1902018
Adaptive-control-oriented meta-learning for nonlinear systems
SM Richards, N Azizan, JJE Slotine, M Pavone
Robotics: Science and Systems (RSS) 2021, 2021
852021
Stochastic mirror descent on overparameterized nonlinear models
N Azizan, S Lale, B Hassibi
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7717 - 7727, 2022
76*2022
Opportunities for price manipulation by aggregators in electricity markets
N Azizan Ruhi, K Dvijotham, N Chen, A Wierman
IEEE Transactions on Smart Grid 9 (6), 5687-5698, 2018
75*2018
Stochastic gradient/mirror descent: Minimax optimality and implicit regularization
N Azizan, B Hassibi
International Conference on Learning Representations (ICLR) 2019, 2019
732019
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
A Sharma, N Azizan, M Pavone
Uncertainty in Artificial Intelligence (UAI), 2021
572021
SIRS epidemics on complex networks: Concurrence of exact Markov chain and approximated models
N Azizan Ruhi, B Hassibi
2015 54th IEEE Conference on Decision and Control (CDC), 2919-2926, 2015
372015
Optimal Pricing in Markets with Nonconvex Costs
N Azizan, Y Su, K Dvijotham, A Wierman
Operations Research 68 (2), 480-496, 2020
302020
Distributed solution of large-scale linear systems via accelerated projection-based consensus
N Azizan-Ruhi, F Lahouti, AS Avestimehr, B Hassibi
IEEE Transactions on Signal Processing 67 (14), 3806-3817, 2019
292019
Control-oriented meta-learning
SM Richards, N Azizan, JJ Slotine, M Pavone
International Journal of Robotics Research (IJRR), 2023
212023
Analysis of exact and approximated epidemic models over complex networks
N Azizan Ruhi, HJ Ahn, B Hassibi
arXiv preprint arXiv:1609.09565, 2018
172018
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
H Sun, K Ahn, C Thrampoulidis, N Azizan
Neural Information Processing Systems (NeurIPS) 2022, 2022
162022
A characterization of stochastic mirror descent algorithms and their convergence properties
N Azizan, B Hassibi
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
142019
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
R Brown, E Schmerling, N Azizan, M Pavone
Artificial Intelligence and Statistics (AISTATS), 2022
132022
Improved bounds on the epidemic threshold of exact SIS models on complex networks
N Azizan Ruhi, C Thrampoulidis, B Hassibi
2016 IEEE 55th Conference on Decision and Control (CDC), 3560-3565, 2016
132016
A study of generalization of stochastic mirror descent algorithms on overparameterized nonlinear models
N Azizan, S Lale, B Hassibi
2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020
122020
Embedding Reliability: On the Predictability of Downstream Performance
S Ardeshir, N Azizan
Neural Information Processing Systems (NeurIPS) ML Safety Workshop, 2022
11*2022
Multiscale modeling of biological communication
N Azizan Ruhi, P Bogdan
2015 IEEE International Conference on Communications (ICC), 1140-1145, 2015
112015
Automatic gradient descent: Deep learning without hyperparameters
J Bernstein, C Mingard, K Huang, N Azizan, Y Yue
arXiv preprint arXiv:2304.05187, 2023
92023
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Artículos 1–20