| Regularized linear regression for binary classification D Akhtiamov*, R Ghane*, B Hassibi 2024 IEEE International Symposium on Information Theory (ISIT), 202-207, 2024 | 4 | 2024 |
| One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression R Ghane, D Akhtiamov, B Hassibi arXiv preprint arXiv:2402.10474, 2024 | 2 | 2024 |
| A Novel Gaussian Min-Max Theorem and its Applications D Akhtiamov, D Bosch, R Ghane, KN Varma, B Hassibi arXiv preprint arXiv:2402.07356, 2024 | 1 | 2024 |
| Universality in Transfer Learning for Linear Models R Ghane, D Akhtiamov, B Hassibi Advances in Neural Information Processing Systems 37, 125729-125779, 2025 | | 2025 |
| Robust Mean Estimation With Auxiliary Samples B Han, D Akhtiamov, R Ghane, B Hassibi arXiv preprint arXiv:2501.18095, 2025 | | 2025 |
| Concentration of Measure for Distributions Generated via Diffusion Models R Ghane, A Bao, D Akhtiamov, B Hassibi arXiv preprint arXiv:2501.07741, 2025 | | 2025 |
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringVerifierad e-postadress på caltech.edu