| Online debiasing for adaptively collected high-dimensional data with applications to time series analysis Y Deshpande, A Javanmard, M Mehrabi Journal of the American Statistical Association, 1-14, 2021 | 34* | 2021 |
| Fundamental tradeoffs in distributionally adversarial training M Mehrabi, A Javanmard, RA Rossi, A Rao, T Mai International Conference on Machine Learning, 7544-7554, 2021 | 21 | 2021 |
| Bounds on the approximation power of feedforward neural networks M Mehrabi, A Tchamkerten, M Yousefi International Conference on Machine Learning, 3453-3461, 2018 | 11 | 2018 |
| Error-correction for sparse support recovery algorithms M Mehrabi, A Tchamkerten IEEE Transactions on Information Theory 68 (11), 7396-7409, 2022 | 10 | 2022 |
| Over-the-Air Federated Learning Exploiting Channel Perturbation SM Hamidi, M Mehrabi, AK Khandani, D Gündüz 2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022 | 5 | 2022 |
| Pearson chi-squared conditional randomization test A Javanmard, M Mehrabi arXiv preprint arXiv:2111.00027, 2021 | 4 | 2021 |
| Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff A Javanmard, M Mehrabi Operations Research, 2023 | 3 | 2023 |
| Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap M Mehrabi, S Wager arXiv preprint arXiv:2402.08201, 2024 | | 2024 |
| GRASP: a goodness-of-fit test for classification learning A Javanmard, M Mehrabi Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | | 2024 |
| A model-free closeness-of-influence test for features in supervised learning M Mehrabi, RA Rossi International Conference on Machine Learning, 24304-24324, 2023 | | 2023 |
| A Sparse inverse covariance Y Deshpande, A Javanmard, M Mehrabi | | |
Adel JavanmardAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
