 C. Blundell, K.A. Heller and J. Beck
"Modeling Reciprocating Relationships with Hawkes Processes",
To appear in Neural Information Processing Systems (NIPS 2012).
 J. Beck, K.A. Heller and A. Pouget
"Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models",
To appear in Neural Information Processing Systems (NIPS 2012).
 W. Dong, K.A. Heller and A. Pentland
"GraphCoupled HMMs for Modeling the Spread of Infection",
In Uncertainty in Artificial Intelligence (UAI 2012).
 S. Mohamed, K.A. Heller and
Z. Ghahramani
"Bayesian and L1 Approaches for Sparse Unsupervised Learning",
In the 29th International Conference on Machine Learning (ICML 2012).
 W. Dong, K.A. Heller and A. Pentland
"Modeling Infection with Multiagent Dynamics",
Social Computing, BehavioralCultural Modeling, and Prediction (SBP 2012).
 J.T. Abbott, K.A. Heller, Z. Ghahramani, and T.L. Griffiths
"Testing a Bayesian Measure of Representativeness Using a Large Image Database",
In Neural Information Processing Systems (NIPS 2011).
 S. Williamson, C. Wang, K.A. Heller, and D.M. Blei
"Nonparametric Mixed Membership Models using the IBP Compound Dirichlet Process",
In K.L. Mengerson, C.P. Robert, and D.M. Titterington, editors, Mixture Estimation and Applications. John Wiley and Sons, 2011.
 C. Blundell, Y.W. Teh and K.A. Heller
"Discovering Nonbinary Hierarchical Structures with Bayesian Rose Trees",
In K.L. Mengerson, C.P. Robert, and D.M. Titterington, edtiors, Mixture Estimation and Applications. John Wiley and Sons, 2011.
 E. Airoldi, K.A. Heller and R. Silva
"Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning",
Bioinformatics (Proceedings of the ISMB) 27, 2011.
 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,
"TreeBased 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 ContentBased 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 Twentysecond International Conference on Machine Learning (ICML 2005).
There is also a longer version, Gatsby Unit Technical Report GCNUTR 2005002. [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):659693.

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 PremRNA Identified by Support Vector Machine Classification",
Genome Research 2003 13:26372650.