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Rishit Sheth
Rishit Sheth
Postdoctoral researcher, Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Probabilistic matrix factorization for automated machine learning
N Fusi, R Sheth, M Elibol
Advances in neural information processing systems 31, 2018
982018
Sparse Variational Inference for Generalized Gaussian Process Models
R Sheth, Y Wang, R Khardon
International Conference on Machine Learning, 2015
332015
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
312006
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
262017
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
132007
Weighted meta-learning
D Cai, R Sheth, L Mackey, N Fusi
arXiv preprint arXiv:2003.09465, 2020
122020
Monte carlo structured svi for two-level non-conjugate models
R Sheth, R Khardon
arXiv preprint arXiv:1612.03957, 2016
62016
A fixed-point operator for inference in variational Bayesian latent Gaussian models
R Sheth, R Khardon
Artificial Intelligence and Statistics, 761-769, 2016
62016
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
52020
Direct loss minimization for sparse gaussian processes
Y Wei, R Sheth, R Khardon
International Conference on Artificial Intelligence and Statistics, 2566-2574, 2021
42021
Differentiable Feature Selection by Discrete Relaxation
R Sheth, N Fusi
International Conference on Artificial Intelligence and Statistics, 1564-1572, 2020
32020
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, 2005
32005
Feature Gradients: Scalable Feature Selection via Discrete Relaxation
R Sheth, N Fusi
arXiv preprint arXiv:1908.10382, 2019
12019
Algorithms and Theory for Variational Inference in Two-Level Non-conjugate Models
R Sheth
Tufts University, 2019
12019
High-resolution Correlation Studies of Mesospheric VHF Backscatter at the Jicamarca Radio Observatory
R Sheth
University of Illinois at Urbana-Champaign, 2004
12004
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
S Belakaria, R Sheth, JR Doppa, N Fusi
arXiv preprint arXiv:2206.12708, 2022
2022
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
Direct Loss Minimization for Sparse Gaussian Processes Open Website
Y Wei, R Sheth, R Khardon
Differentiable Feature Selection by Discrete Relaxation Open Website
R Sheth, N Fusi
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