| Abstract syntax networks for code generation and semantic parsing M Rabinovich, M Stern, D Klein arXiv preprint arXiv:1704.07535, 2017 | 407 | 2017 |
| The inverse regression topic model M Rabinovich, D Blei International Conference on Machine Learning, 199-207, 2014 | 70 | 2014 |
| Variational consensus monte carlo M Rabinovich, E Angelino, MI Jordan Advances in Neural Information Processing Systems 28, 2015 | 50 | 2015 |
| Optimal rates and trade-offs in multiple testing M Rabinovich, A Ramdas, MI Jordan, MJ Wainwright Statistica Sinica 30 (2), 741-762, 2020 | 27 | 2020 |
| Quantitative criticism of literary relationships JP Dexter, T Katz, N Tripuraneni, T Dasgupta, A Kannan, JA Brofos, ... Proceedings of the National Academy of Sciences 114 (16), E3195-E3204, 2017 | 23 | 2017 |
| Fine-grained entity typing with high-multiplicity assignments M Rabinovich, D Klein arXiv preprint arXiv:1704.07751, 2017 | 20 | 2017 |
| On the accuracy of self-normalized log-linear models J Andreas, M Rabinovich, MI Jordan, D Klein Advances in Neural Information Processing Systems 28, 2015 | 20 | 2015 |
| Function-specific mixing times and concentration away from equilibrium M Rabinovich, A Ramdas, MI Jordan, MJ Wainwright | 9 | 2020 |
| Variational consensus Monte Carlo. arXiv. org M Rabinovich, E Angelino, MI Jordan June, 2015 | 2 | 2015 |
| Invited Case Study KCM Gonçalves, HS Migon, LS Bastos, P Gagnon, A Desgagné, ... Bayesian Analysis 15 (2), 2020 | | 2020 |
| Sharp and Practical Performance Bounds for MCMC and Multiple Testing M Rabinovich UC Berkeley, 2019 | | 2019 |
| Online Inference for Relation Extraction with a Reduced Feature Set M Rabinovich, C Archambeau arXiv preprint arXiv:1504.04770, 2015 | | 2015 |
| Inverse Regression Topic Modeling: Models, Inference and Applications M Rabinovich | | 2013 |
| S1 Proof of (4.31) M Rabinovich, A Ramdas, MI Jordan, MJ Wainwright | | |
| Efficient Inference for Unsupervised Semantic Parsing M Rabinovich, Z Ghahramani | | |
