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Vinayak Rao
Vinayak Rao
Associate Professor, Department of Statistics, Purdue University
Bestätigte E-Mail-Adresse bei purdue.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Fast MCMC sampling for Markov jump processes and extensions
V Rao, YW Teh
The Journal of Machine Learning Research, 2013, 2013
1262013
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
1202018
Relational Pooling for Graph Representations
R Murphy, B Srinivasan, V Rao, B Ribeiro
International Conference on Machine Learning, 2019
1182019
Spatial normalized gamma processes
V Rao, Y Teh
Advances in neural information processing systems 22, 2009
612009
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
572009
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
54*2011
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
V Rao, YW Teh
arXiv preprint arXiv:1202.3760, 2012
472012
Repulsive mixtures
F Petralia, V Rao, D Dunson
Advances in neural information processing systems 25, 2012
472012
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
372018
Dependent normalized random measures
C Chen, V Rao, W Buntine, YW Teh
International Conference on Machine Learning, 969-977, 2013
362013
Dependent normalized random measures
C Chen, V Rao, W Buntine, YW Teh
Proceedings of the International Conference on Machine Learning (ICML), 2013
362013
MCMC for continuous-time discrete-state systems
V Rao, Y Teh
Advances in Neural Information Processing Systems 25, 2012
332012
Retrieved context and the discovery of semantic structure
VA Rao, MW Howard
Advances in neural information processing systems 20, 1193, 2008
302008
Hierarchical infinite divisibility for multiscale shrinkage
X Yuan, V Rao, S Han, L Carin
IEEE Transactions on Signal Processing 62 (17), 4363-4374, 2014
292014
Data augmentation for models based on rejection sampling
V Rao, L Lin, DB Dunson
Biometrika 103 (2), 319-335, 2016
222016
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
172016
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
Decoupling Homophily and Reciprocity with Latent Space Network Models
J Yang, V Rao, J Neville
Proceedings of The 33rd Conference on Uncertainty in Artificial Intelligence …, 2017
162017
Bayesian inference for Matérn repulsive processes
V Rao, RP Adams, DD Dunson
Series B Statistical methodology, 2017
142017
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