Sanvesh Srivastava

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 7

Top Topics

Bayesian Inference

Top Venues

J. Mach. Learn. Res.

J. Comput. Graph. Stat.

Publications

Steven Winter, Trevor Campbell, Lizhen Lin, Sanvesh Srivastava, David B. Dunson
Machine Learning and the Future of Bayesian Computation. CoRR (2023)
Jiayuan Zhou, Kshitij Khare, Sanvesh Srivastava
Asynchronous and Distributed Data Augmentation for Massive Data Settings. J. Comput. Graph. Stat. 32 (3) (2023)
Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior. J. Mach. Learn. Res. 23 (2022)
Sanvesh Srivastava, Yixiang Xu
Distributed Bayesian Inference in Linear Mixed-Effects Models. J. Comput. Graph. Stat. 30 (3) (2021)
Sanvesh Srivastava, Cheng Li, David B. Dunson
Scalable Bayes via Barycenter in Wasserstein Space. J. Mach. Learn. Res. 19 (2018)
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson
Robust and Scalable Bayes via a Median of Subset Posterior Measures. J. Mach. Learn. Res. 18 (2017)
Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson
WASP: Scalable Bayes via barycenters of subset posteriors. AISTATS (2015)
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson
Robust and scalable Bayes via a median of subset posterior measures. CoRR (2014)
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson
Scalable and Robust Bayesian Inference via the Median Posterior. ICML (2014)
Sanvesh Srivastava, Wenyi Wang, Ganiraju Manyam, Carlos Ordonez, Veerabhadran Baladandayuthapani
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. EURASIP J. Bioinform. Syst. Biol. 2013 (2013)
Sanvesh Srivastava, Wenyi Wang, Pascal O. Zinn, Rivka R. Colen, Veerabhadran Baladandayuthapani
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. GENSiPS (2012)