Creighton Heaukulani
Creighton Heaukulani
Ministry of Health, Singapore
Verified email at moht.com.sg - Homepage
Title
Cited by
Cited by
Year
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
C Heaukulani, Z Ghahramani
ICML (2013), 2013
802013
The combinatorial structure of beta negative binomial processes
C Heaukulani, DM Roy
Bernoulli 22 (4), 2301-2324, 2016
142016
Gibbs-type Indian buffet processes
C Heaukulani, DM Roy
Bayesian Analysis 15 (3), 683--710, 2020
12*2020
Beta diffusion trees and hierarchical feature allocations
C Heaukulani, DA Knowles, Z Ghahramani
ICML (2014); Extended version: arXiv:1408.3378, 2014
10*2014
Bayesian inference on random simple graphs with power law degree distributions
J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi
ICML (2017), 2017
62017
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
C Heaukulani, M van der Wilk
NeurIPS (2019), 2019
32019
Variational inference for neural network matrix factorization and its application to stochastic blockmodeling
O Kampman, C Heaukulani
ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019
22019
Generalized IBPs, random multisets, and tree-structured feature allocations
C Heaukulani
University of Cambridge, 2015
22015
HOPES--An Integrative Digital Phenotyping Platform for Data Collection, Monitoring and Machine Learning
X Wang, N Vouk, C Heaukulani, T Buddhika, W Martanto, J Lee, ...
arXiv preprint arXiv:2008.12431, 2020
2020
Black-box constructions for exchangeable sequences of random multisets
C Heaukulani, DM Roy
arXiv preprint arXiv:1908.06349, 2019
2019
Supplementary Material: Bayesian inference on random simple graphs with power law degree distributions
J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi
ICML (2017), 2017
2017
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Articles 1–11