| 2025 | ICLR | Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. | Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar |
| 2023 | AAAI | Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. | Hossein Taheri, Christos Thrampoulidis |
| 2023 | AISTATS | On Generalization of Decentralized Learning with Separable Data. | Hossein Taheri, Christos Thrampoulidis |
| 2023 | SNPD | Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing. | Md. Arifur Rahman, Hossein Taheri, Jongyeop Kim |
| 2022 | ISIT | Asymptotic Behavior of Adversarial Training in Binary Linear Classification. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2021 | AISTATS | Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2020 | AISTATS | Sharp Asymptotics and Optimal Performance for Inference in Binary Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2020 | ICML | Quantized Decentralized Stochastic Learning over Directed Graphs. | Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani |
| 2020 | ISIT | Optimality of Least-squares for Classification in Gaussian-Mixture Models. | Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis |
| 2011 | SMC | Architecture and applications of Language-Centered Intelligence for unmanned underwater vehicles. | Nicodemus Hallin, Hossein Taheri, Justin Horn, Michael O'Rourke, Dean Edwards |