Vinayak Rao
Vinayak Rao
Associate Professor, Department of Statistics, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Fast MCMC sampling for Markov jump processes and extensions
V Rao, YW Teh
The Journal of Machine Learning Research, 2013, 2013
1192013
Janossy pooling: Learning deep permutation-invariant functions for variable-size inputs
RL Murphy, B Srinivasan, V Rao, B Ribeiro
International Conference on Learning Representations, 2018
902018
Relational Pooling for Graph Representations
R Murphy, B Srinivasan, V Rao, B Ribeiro
International Conference on Machine Learning, 2019
792019
Spatial normalized gamma processes
V Rao, Y Teh
Advances in neural information processing systems 22, 1554-1562, 2009
672009
A multitask point process predictive model
W Lian, R Henao, V Rao, J Lucas, L Carin
International Conference on Machine Learning, 2030-2038, 2015
542015
Gaussian process modulated renewal processes
V Rao, YW Teh
Advances in Neural Information Processing Systems, 2474-2482, 2011
542011
Bridging the gap: Transitive associations between items presented in similar temporal contexts.
MW Howard, B Jing, VA Rao, JP Provyn, AV Datey
Journal of Experimental Psychology: Learning, Memory, and Cognition 35 (2), 391, 2009
532009
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
V Rao, YW Teh
arXiv preprint arXiv:1202.3760, 2012
512012
Repulsive mixtures
F Petralia, V Rao, DB Dunson
arXiv preprint arXiv:1204.5243, 2012
452012
Dependent normalized random measures
C Chen, V Rao, W Buntine, YW Teh
International Conference on Machine Learning, 969-977, 2013
372013
Dependent normalized random measures
C Chen, V Rao, W Buntine, YW Teh
Proceedings of the International Conference on Machine Learning (ICML), 2013
372013
MCMC for continuous-time discrete-state systems.
VA Rao, YW Teh
NIPS 12, 701-709, 2012
342012
Hierarchical infinite divisibility for multiscale shrinkage
X Yuan, V Rao, S Han, L Carin
IEEE Transactions on Signal Processing 62 (17), 4363-4374, 2014
302014
Retrieved context and the discovery of semantic structure
VA Rao, MW Howard
Advances in neural information processing systems 20, 1193, 2008
302008
Goodness-of-fit testing for discrete distributions via Stein discrepancy
J Yang, Q Liu, V Rao, J Neville
International Conference on Machine Learning, 5561-5570, 2018
292018
Modeling correlated arrival events with latent semi-markov processes
W Lian, V Rao, B Eriksson, L Carin
International Conference on Machine Learning, 396-404, 2014
172014
Data augmentation for models based on rejection sampling
V Rao, L Lin, DB Dunson
Biometrika 103 (2), 319-335, 2016
162016
Markov-modulated Marked Poisson Processes for Check-in Data
J Pan, V Rao, PK Agarwal, AE Gelfand
Proceedings of The 33rd International Conference on Machine Learning, 2016
162016
Bayesian inference for Matérn repulsive processes
V Rao, RP Adams, DD Dunson
Series B Statistical methodology, 2017
112017
Bayesian inference for Mat\'ern repulsive processes
V Rao, RP Adams, DB Dunson
Journal of the Royal Statistical Society, Series B, 2016
112016
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Articles 1–20