Navid Azizan
Orcid: 0000-0002-4299-2963Affiliations:
- Massachusetts Institute of Technology (MIT), MA, USA
- California Institute of Technology, CA, USA (former)
According to our database1,
Navid Azizan
authored at least 38 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Sketching curvature for efficient out-of-distribution detection for deep neural networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
2020
A Study of Generalization of Stochastic Mirror Descent Algorithms on Overparameterized Nonlinear Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus.
IEEE Trans. Signal Process., 2019
Optimization Algorithms for Large-Scale Systems: From Deep Learning to Energy Markets.
SIGMETRICS Perform. Evaluation Rev., 2019
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization.
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
A Characterization of Stochastic Mirror Descent Algorithms and Their Convergence Properties.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
2016
SIGMETRICS Perform. Evaluation Rev., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
SIRS epidemics on complex networks: Concurrence of exact Markov chain and approximated models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015