| Probabilistic matrix factorization for automated machine learning N Fusi, R Sheth, M Elibol Advances in neural information processing systems 31, 2018 | 154 | 2018 |
| Sparse Variational Inference for Generalized Gaussian Process Models R Sheth, Y Wang, R Khardon International Conference on Machine Learning, 2015 | 36 | 2015 |
| Excess risk bounds for the bayes risk using variational inference in latent gaussian models R Sheth, R Khardon Advances in neural information processing systems 30, 2017 | 34 | 2017 |
| A high-resolution study of mesospheric fine structure with the Jicamarca MST radar R Sheth, E Kudeki, G Lehmacher, M Sarango, R Woodman, J Chau, ... Annales Geophysicae 24 (5), 1281-1293, 2006 | 32 | 2006 |
| Weighted meta-learning D Cai, R Sheth, L Mackey, N Fusi arXiv preprint arXiv:2003.09465, 2020 | 18 | 2020 |
| Turbulent kinetic energy dissipation rates and eddy diffusivities in the tropical mesosphere using Jicamarca radar data L Guo, GA Lehmacher, E Kudeki, A Akgiray, R Sheth, JL Chau Advances in Space Research 40 (6), 744-750, 2007 | 15 | 2007 |
| Monte carlo structured svi for two-level non-conjugate models R Sheth, R Khardon arXiv preprint arXiv:1612.03957, 2016 | 11 | 2016 |
| Direct loss minimization for sparse gaussian processes Y Wei, R Sheth, R Khardon International Conference on Artificial Intelligence and Statistics, 2566-2574, 2021 | 8 | 2021 |
| Pseudo-bayesian learning via direct loss minimization with applications to sparse gaussian process models R Sheth, R Khardon Symposium on Advances in Approximate Bayesian Inference, 1-18, 2020 | 8 | 2020 |
| A fixed-point operator for inference in variational Bayesian latent Gaussian models R Sheth, R Khardon Artificial Intelligence and Statistics, 761-769, 2016 | 7 | 2016 |
| Differentiable feature selection by discrete relaxation R Sheth, N Fusi International Conference on Artificial Intelligence and Statistics, 1564-1572, 2020 | 6 | 2020 |
| Bayesian optimization over iterative learners with structured responses: A budget-aware planning approach S Belakaria, JR Doppa, N Fusi, R Sheth International Conference on Artificial Intelligence and Statistics, 9076-9093, 2023 | 5 | 2023 |
| Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform R Sheth, KE Barner, RP Schumeyer, GR Arce Journal of Electronic Imaging 14 (3), 033011-033011-13, 2005 | 5 | 2005 |
| Feature gradients: Scalable feature selection via discrete relaxation R Sheth, N Fusi arXiv preprint arXiv:1908.10382, 2019 | 3 | 2019 |
| Algorithms and Theory for Variational Inference in Two-Level Non-conjugate Models R Sheth Tufts University, 2019 | 3 | 2019 |
| Direct loss minimization algorithms for sparse Gaussian processes Y Wei, R Sheth, R Khardon arXiv preprint arXiv:2004.03083, 2020 | 1 | 2020 |
| High-resolution Correlation Studies of Mesospheric VHF Backscatter at the Jicamarca Radio Observatory R Sheth University of Illinois at Urbana-Champaign, 2004 | 1 | 2004 |
| Hyperparameter selection using budget-aware bayesian optimization S Belakaria, R Sheth, N Fusi US Patent App. 17/551,475, 2023 | | 2023 |
| Turbulent kinetic energy dissipation rate and eddy diffusivity study in the tropical mesosphere using Jicamarca radar data L Guo Clemson University, 2006 | | 2006 |
| Radar Observations of Gravity Waves and Kelvin-Helmholtz Instabilities in the Tropical Mesosphere G Lehmacher, L Guo, E Kudeki, R Sheth, M Sarango AGU Spring Meeting Abstracts 2004, SA21A-06, 2004 | | 2004 |
Nicolò FusiPartner Researcher, Microsoft Research在 microsoft.com 的电子邮件经过验证
Nicolò FusiPartner Researcher, Microsoft Research在 microsoft.com 的电子邮件经过验证
Roni KhardonProfessor of Computer Science, Indiana University, Bloomington在 iu.edu 的电子邮件经过验证