Ikuti
Vinayak Rao
Vinayak Rao
Associate Professor, Department of Statistics, Purdue University
Email yang diverifikasi di purdue.edu - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Relational Pooling for Graph Representations
R Murphy, B Srinivasan, V Rao, B Ribeiro
International Conference on Machine Learning, 2019
3192019
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
2372018
Fast MCMC sampling for Markov jump processes and extensions
V Rao, YW Teh
The Journal of Machine Learning Research, 2013, 2013
1412013
Repulsive mixtures
F Petralia, V Rao, D Dunson
Advances in neural information processing systems 25, 2012
792012
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
782009
A multitask point process predictive model
W Lian, R Henao, V Rao, J Lucas, L Carin
International conference on machine learning, 2030-2038, 2015
732015
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
712018
Spatial normalized gamma processes
V Rao, Y Teh
Advances in neural information processing systems 22, 2009
682009
Gaussian process modulated renewal processes
V Rao, YW Teh
Advances in Neural Information Processing Systems, 2474-2482, 2011
64*2011
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
V Rao, YW Teh
arXiv preprint arXiv:1202.3760, 2012
492012
Dependent normalized random measures
C Chen, V Rao, W Buntine, YW Teh
Proceedings of the International Conference on Machine Learning (ICML), 2013
412013
Data augmentation for models based on rejection sampling
V Rao, L Lin, DB Dunson
Biometrika 103 (2), 319-335, 2016
362016
MCMC for continuous-time discrete-state systems
V Rao, Y Teh
Advances in Neural Information Processing Systems 25, 2012
352012
Retrieved context and the discovery of semantic structure
VA Rao, MW Howard
Advances in neural information processing systems 20, 1193, 2008
352008
Hierarchical infinite divisibility for multiscale shrinkage
X Yuan, V Rao, S Han, L Carin
IEEE Transactions on Signal Processing 62 (17), 4363-4374, 2014
312014
Bayesian nonparametric inference on the Stiefel manifold
L Lin, V Rao, DB Dunson
Statistica Sinica 27, 535-553, 2017
272017
Data augmentation MCMC for Bayesian inference from privatized data
N Ju, J Awan, R Gong, V Rao
Advances in neural information processing systems 35, 12732-12743, 2022
262022
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
262017
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
222016
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
J Yang, V Rao, J Neville
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
212019
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