| 2024 | UAI | Quantifying Representation Reliability in Self-Supervised Learning Models. | Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan |
| 2023 | AISTATS | Online Learning for Traffic Routing under Unknown Preferences. | Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone |
| 2023 | ICML | Learning Control-Oriented Dynamical Structure from Data. | Spencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone |
| 2022 | AISTATS | A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. | Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone |
| 2021 | UAI | Sketching curvature for efficient out-of-distribution detection for deep neural networks. | Apoorva Sharma, Navid Azizan, Marco Pavone |
| 2020 | AISTATS | Orthogonal Gradient Descent for Continual Learning. | Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li |
| 2020 | ICASSP | A Study of Generalization of Stochastic Mirror Descent Algorithms on Overparameterized Nonlinear Models. | Navid Azizan, Sahin Lale, Babak Hassibi |