| Source identification for mixtures of product distributions S Gordon, BH Mazaheri, Y Rabani, L Schulman Conference on Learning Theory, 2193-2216, 2021 | 15 | 2021 |
| Causal Inference Despite Limited Global Confounding via Mixture Models SL Gordon, B Mazaheri, Y Rabani, LJ Schulman 2nd Conference on Causal Learning and Reasoning 213, 1-27, 2021 | 8* | 2021 |
| Robust correction of sampling bias using cumulative distribution functions B Mazaheri, S Jain, J Bruck Advances in Neural Information Processing Systems 33, 3546-3556, 2020 | 8 | 2020 |
| The sparse hausdorff moment problem, with application to topic models S Gordon, B Mazaheri, LJ Schulman, Y Rabani arXiv preprint arXiv:2007.08101, 2020 | 7 | 2020 |
| Cancer classification from healthy DNA using machine learning S Jain, B Mazaheri, N Raviv, J Bruck bioRxiv, 517839, 2019 | 4 | 2019 |
| Short tandem repeats information in tcga is statistically biased by amplification S Jain, B Mazaheri, N Raviv, J Bruck BioRxiv, 518878, 2019 | 4 | 2019 |
| Glioblastoma signature in the DNA of blood-derived cells S Jain, B Mazaheri, N Raviv, J Bruck Plos one 16 (9), e0256831, 2021 | 3 | 2021 |
| Identification of mixtures of discrete product distributions in near-optimal sample and time complexity SL Gordon, E Jahn, B Mazaheri, Y Rabani, LJ Schulman The Thirty Seventh Annual Conference on Learning Theory, 2071-2091, 2024 | 2 | 2024 |
| Causal information splitting: Engineering proxy features for robustness to distribution shifts B Mazaheri, A Mastakouri, D Janzing, M Hardt Uncertainty in Artificial Intelligence, 1401-1411, 2023 | 2 | 2023 |
| Expert graphs: Synthesizing new expertise via collaboration B Mazaheri, S Jain, J Bruck 2021 IEEE International Symposium on Information Theory (ISIT), 2447-2452, 2021 | 2 | 2021 |
| Causal Discovery under Latent Class Confounding B Mazaheri, S Gordon, Y Rabani, L Schulman arXiv preprint arXiv:2311.07454, 2023 | 1 | 2023 |
| Mutation profile and related labeled genomic components, methods and systems S Jain, BHS Mazaheri, N Raviv, J Bruck US Patent App. 16/447,162, 2019 | 1 | 2019 |
| Synthetic Potential Outcomes for Mixtures of Treatment Effects B Mazaheri, C Squires, C Uhler arXiv preprint arXiv:2405.19225, 2024 | | 2024 |
| Combining Sources and Leveraging Contexts BH Mazaheri California Institute of Technology, 2024 | | 2024 |
| Distribution Re-weighting and Voting Paradoxes B Mazaheri, S Jain, M Cook, J Bruck arXiv preprint arXiv:2311.06840, 2023 | | 2023 |
| Combining Binary Classifiers Leads to Nontransitive Paradoxes B Mazaheri, S Jain, M Cook, J Bruck | | |
Jehoshua BruckGordon and Betty Moore Professor, Caltech在 caltech.edu 的电子邮件经过验证
