| De-biasing generative models using counterfactual methods S Bhat, J Jiang, O Pooladzandi, G Pottie arXiv preprint arXiv:2207.01575, 2022 | 5 | 2022 |
| Towards Composable Distributions of Latent Space Augmentations O Pooladzandi, J Jiang, S Bhat, G Pottie arXiv preprint arXiv:2303.03462, 2023 | 1 | 2023 |
| Hypothesis Testing using Causal and Causal Variational Generative Models J Jiang, O Pooladzandi, S Bhat, G Pottie arXiv preprint arXiv:2210.11275, 2022 | 1 | 2022 |
| On robust estimation in causal machine learning J Jiang UCLA, 2024 | | 2024 |
| Causal Structural Hypothesis Testing and Data Generation Models J Jiang, O Pooladzandi, S Bhat, G Pottie arXiv preprint arXiv:2210.11275, 2022 | | 2022 |
| Causal Structural Hypothesis Testing and Data Generation Models SG Bhat, O Pooladzandi, J Jiang, G Pottie NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | | 2022 |
