| An off-policy policy gradient theorem using emphatic weightings E Imani, E Graves, M White Advances in Neural Information Processing Systems 31, 2018 | 64 | 2018 |
| Improving regression performance with distributional losses E Imani, M White International Conference on Machine Learning, 2157-2166, 2018 | 33 | 2018 |
| Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models T Jafferjee, E Imani, E Talvitie, M White, M Bowling arXiv preprint arXiv:2006.04363, 2020 | 16 | 2020 |
| An implicit function learning approach for parametric modal regression Y Pan, E Imani, A Farahmand, M White Advances in Neural Information Processing Systems 33, 2020 | 6 | 2020 |
| Multi-modal deep distance metric learning SM Roostaiyan, E Imani, MS Baghshah Intelligent Data Analysis 21 (6), 1351-1369, 2017 | 6 | 2017 |
| Off-Policy Actor-Critic with Emphatic Weightings E Graves, E Imani, R Kumaraswamy, M White arXiv preprint arXiv:2111.08172, 2021 | 2 | 2021 |
| Representation Alignment in Neural Networks E Imani, W Hu, M White | 1* | |
| Label Alignment Regularization for Distribution Shift E Imani, G Zhang, J Luo, P Poupart, Y Pan arXiv preprint arXiv:2211.14960, 2022 | | 2022 |
| Understanding Feature Transfer Through Representation Alignment E Imani, W Hu, M White arXiv preprint arXiv:2112.07806, 2021 | | 2021 |
| Distributional Losses for Regression E Imani | | 2019 |
