Creighton Heaukulani

I completed my PhD in the Machine Learning Group at the University of Cambridge, under the supervision of Zoubin Ghahramani. I was previously supervised by Andrew R. Barron and Sekhar Tatikonda in the Statistics Department at Yale University.

I am interested in probabilistic approaches to modeling and inference in all areas of modern statistics.

Feel free to contact me at c [dot] k [dot] heaukulani [at] gmail.com.


Research

Black-box constructions for exchangeable sequences of random multisets.
Creighton Heaukulani and Daniel M. Roy
Preprint available upon request.

Generalized IBPs, random multisets, and tree-structured feature allocations.
PhD Thesis, June 2016. [pdf]

Gibbs-type Indian buffet processes.
Creighton Heaukulani and Daniel M. Roy
Preprint. [paper]
Talk on related work at BNP10, June 2015, Raleigh--Durham: [slides]

Beta diffusion trees and hierarchical feature allocations.
Creighton Heaukulani, David A. Knowles, and Zoubin Ghahramani
ICML, 2014. Extended version: [paper]
Talk June 2014, Beijing: [slides]

The combinatorial structure of beta negative binomial processes.
Creighton Heaukulani and Daniel M. Roy
Bernoulli, Vol. 22, No. 4, 2301--2324, 2016. [paper]
Talk on this at BNP9, March 2013, Amsterdam: [slides]

Dynamic probabilistic models for latent feature propagation in social networks.
Creighton Heaukulani and Zoubin Ghahramani
ICML, 2013. [paper]
Talk June 2013, Atlanta: [slides]


Links to collaborators

Zoubin Ghahramani, David Knowles, Daniel M. Roy