| Log-concave sampling: Metropolis-Hastings algorithms are fast R Dwivedi*, Y Chen*, MJ Wainwright, B Yu The Journal of Machine Learning Research 20 (183):1−42, 2019., 2018 | 149 | 2018 |
| Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients Y Chen, R Dwivedi, MJ Wainwright, B Yu The Journal of Machine Learning Research 21(92):1−72, 2020., 2019 | 55 | 2019 |
| Curating a COVID-19 data repository and forecasting county-level death counts in the United States N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ... Harvard Data Science Review, 10.1162/99608f92.1d4e0dae, 2021 | 51 | 2021 |
| Fast MCMC sampling algorithms on polytopes Y Chen*, R Dwivedi*, MJ Wainwright, B Yu The Journal of Machine Learning Research 19 (1), 2146-2231, 2018, 2018 | 47 | 2018 |
| Singularity, Misspecification, and the Convergence Rate of EM R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan, B Yu Annals of Statistics, Volume 48, Number 6 (2020), 3161-3182., 2020 | 39 | 2020 |
| The power of online thinning in reducing discrepancy R Dwivedi, ON Feldheim, O Gurel-Gurevich, A Ramdas Probability Theory and Related Fields 174 (1), 103-131, 2019 | 17 | 2019 |
| Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan, B Yu Twenty Third International Conference on Artificial Intelligence and …, 2019 | 17* | 2019 |
| Stable discovery of interpretable subgroups via calibration in causal studies R Dwivedi*, YS Tan*, B Park, M Wei, K Horgan, D Madigan, B Yu International Statistical Review, 2020, 2020 | 12 | 2020 |
| Revisiting minimum description length complexity in overparameterized models R Dwivedi*, C Singh*, B Yu, MJ Wainwright arXiv preprint arXiv:2006.10189, 2020 | 9* | 2020 |
| Theoretical guarantees for EM under misspecified Gaussian mixture models R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan Advances in Neural Information Processing Systems, 9704-9712, 2018 | 9* | 2018 |
| Vaidya walk: A sampling algorithm based on the volumetric barrier Y Chen*, R Dwivedi*, MJ Wainwright, B Yu 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 7 | 2017 |
| Kernel thinning R Dwivedi, L Mackey arXiv preprint arXiv:2105.05842, 2021 | 6 | 2021 |
| Instability, Computational Efficiency and Statistical Accuracy N Ho*, K Khamaru*, R Dwivedi*, MJ Wainwright, MI Jordan, B Yu arXiv preprint arXiv:2005.11411, 2020 | 4 | 2020 |
| Gaussian approximations in high dimensional estimation VS Borkar, R Dwivedi, N Sahasrabudhe Systems & Control Letters 92, 42-45, 2016 | 4 | 2016 |
| Generalized kernel thinning R Dwivedi, L Mackey arXiv preprint arXiv:2110.01593, 2021 | 3 | 2021 |
| Distribution compression in near-linear time A Shetty, R Dwivedi, L Mackey arXiv preprint arXiv:2111.07941, 2021 | 2 | 2021 |
| Removing sampling bias in networked stochastic approximation R Dwivedi, VS Borkar 2014 International Conference on Signal Processing and Communications (SPCOM …, 2014 | 1 | 2014 |
| Counterfactual inference for sequential experimental design R Dwivedi, S Murphy, D Shah arXiv preprint arXiv:2202.06891, 2022 | | 2022 |
| Principled Statistical Approaches For Sampling and Inference in High Dimensions R Dwivedi | | 2021 |
| An online dashboard for tracking, comparing, and forecasting COVID-19 in counties across the US D Wang, M Shen, J Duncan, C Singh, T Tang, Y Wang, N Altieri, X Li, ... | | |
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu
