Katherine Heller

I am currently an EPSRC Postdoctoral Research Fellow at the University of Cambridge. I am also a visiting researcher at the Gatsby Computational Neuroscience Unit.

In general my research interests lie in the area of machine learning. More specifically, I am interested in Bayesian statistics, clustering, information retrieval, and semi-supervised learning. I have also done research which applies machine learning techniques to problems in cognitive science, computational biology, computer security, and computer vision.

News

Check out Sinead Williamson's talk on our work on The IBP Compound Dirichlet process at ICML in June.

Watch out for Shakir Mohamed's talk on our work on "Sparse Exponential Family Latent Variable Models" at ISBA this summer!

I am serving as a probabilistic models and methods area chair for NIPS 2010

I co-organized a fruitful NIPS 2009 workshop on Applications for Topic Models: Text and Beyond

Curriculum Vitae

My CV is in pdf format.

Papers

C. Blundell, Y.W. Teh and K.A. Heller
"Bayesian Rose Trees",
In the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010).
S. Williamson, C. Wang, K.A. Heller, and D.M. Blei
"The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling",
In the 27th International Conference on Machine Learning (ICML 2010).
H. Wallach, S.T. Jensen, L. Dicker, and K.A. Heller,
"An Alternative Prior Process for Nonparametric Bayesian Clustering",
In the 13th International Conference on AI and Statistics (AISTATS 2010).
R. Silva, K.A. Heller, Z. Ghahramani, and E. Airoldi,
"Ranking Relations using Analogies in Biological and Information Networks",
In Annals of Applied Statistics 2010.
K.A. Heller, A. Sanborn, and N. Chater,
"Hierarchical Learning of Dimensional Biases in Human Categorization",
In Neural Information Processing Systems (NIPS 2009).
R.S. Savage, K.A. Heller, Y. Xu, Z. Ghahramani, W.M. Truman, M. Grant, K.J. Denby, and D.L. Wild,
"R/BHC:Fast Bayesian Hierarchical Clustering for Microarray Data",
BMC Bioinformatics 2009, 10:242.
K.A. Heller, Y.W. Teh, and D. Gorur,
"The Infinite Hierarchical Hidden Markov Model",
In the 12th International Conference on AI and Statistics (AISTATS 2009).
Y. Xu, K.A. Heller, and Z. Ghahramani,
"Tree-Based Inference for Dirichlet Process Mixtures",
In the 12th International Conference on AI and Statistics (AISTATS 2009).
K.A. Heller,
"Efficient Bayesian Methods for Clustering",
Ph.D. Thesis 2008.
S. Mohamed, K.A. Heller and Z. Ghahramani,
"Bayesian Exponential Family PCA",
In Neural Information Processing Systems (NIPS 2008).
K.A. Heller, S. Williamson and Z. Ghahramani,
"Statistical Models for Partial Membership"
In the 25th International Conference on Machine Learning (ICML 2008).
K.A. Heller and Z. Ghahramani,
"A Nonparametric Bayesian Approach to Modeling Overlapping Clusters",
In the 11th International Conference on AI and Statistics (AISTATS 2007).
R. Silva, K.A. Heller and Z. Ghahramani,
"Analogical Reasoning with Relational Bayesian Sets",
In the 11th International Conference on AI and Statistics (AISTATS 2007).
K.A. Heller and Z. Ghahramani,
"A Simple Bayesian Framework for Content-Based Image Retrieval",
In the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2006).
Z. Ghahramani and K.A. Heller,
"Bayesian Sets",
In Advances in Neural Information Processing Systems (NIPS 2005).
K.A. Heller and Z. Ghahramani,
"Randomized Algorithms for Fast Bayesian Hierarchical Clustering" ,
PASCAL Workshop on Statistics and Optimization of Clustering 2005.
K.A. Heller and Z. Ghahramani,
"Bayesian Hierarchical Clustering"
In the Twenty-second International Conference on Machine Learning (ICML 2005).
There is also a longer version, Gatsby Unit Technical Report GCNU-TR 2005-002. [ps] [pdf]
S.J. Stolfo, F. Apap, E. Eskin, K.A. Heller, S. Hershkop, A. Honig, K.M. Svore,
"A Comparitive Evaluation of Two Algorithms for Windows Registry Anomaly Detection",
Journal of Computer Security 2005 13(4):659-693.
K.A. Heller, K.M. Svore, A. Keromytis, S.J. Stolfo,
"One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses"
In the proceedings of the workshop on Data Mining for Computer Security (ICDM 2003).
X.I. Zhang, K.A. Heller, I. Hefter, C.S. Leslie, and L.A. Chasin,
"Sequence Information for the Splicing of Human Pre-mRNA Identified by Support Vector Machine Classification",
Genome Research 2003 13:2637-2650.

Personal

A website about the trip to Egypt that I took in 2006.

Contact Info

Katherine Heller
Gatsby Computational Neuroscience Unit
University College London
17 Queen Square
London WC1N 3AR
UK

Office Phone: +44(0) 20 7679 1183

Email: heller (a-t) gatsby.ucl.ac.uk