| Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks C Heaukulani, Z Ghahramani ICML (2013), 2013 | 80 | 2013 |
| The combinatorial structure of beta negative binomial processes C Heaukulani, DM Roy Bernoulli 22 (4), 2301-2324, 2016 | 14 | 2016 |
| 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 | 6 | 2017 |
| Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes C Heaukulani, M van der Wilk NeurIPS (2019), 2019 | 3 | 2019 |
| 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 | 2 | 2019 |
| Generalized IBPs, random multisets, and tree-structured feature allocations C Heaukulani University of Cambridge, 2015 | 2 | 2015 |
| 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 |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
