Publications

N. Prasad, K.Palla
The Role of Context in the Prediction of Acute Hypotension in Critical Care
Symposium on Artificial Intelligence for Learning Health Systems, 2020
Material: paper - extended

S. Zannone, J.M.H. Lobato, C. Zhang, K. Palla
ODIN: Optimal Discovery of High-value INformation Using Model-based Deep Reinforcement Learning
Real-world Sequential Decision Making Workshop at the International Conference on Machine Learning (ICML), 2019
Material: paper

C. Ma, S. Tschiatschek, K. Palla, J.M.H. Lobato, S. Nowozin, C. Zhang
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
International Conference on Machine Learning (ICML), 2019
Material: paper

Konstantina Palla, Danielle C.M. Belgrave (2017)
A Birth-Death Modelling Framework for Inferring Disease Causality within the Context of Allergy Development
International Conference on Machine Learning and Applications (ICMLA), 2017

Konstantina Palla, David A. Knowles, Zoubin Ghahramani (2017)
A birth-death process for feature allocation
International Conference on Machine Learning (ICML), 2017
Material: paper | supplementary

Konstantina Palla, Fran├žois Caron, Yee Whye Teh
A Bayesian nonparametric model for sparse dynamic networks
Material: paper (2016)

Nicholas A Heard, Konstantina Palla, Maria Skoularidou (2016)
Topic modelling of authentication events in an enterprise computer network
IEEE Conference on Intelligence and Security Informatics (ISI) Material: paper | bib

Konstantina Palla, David A. Knowles, Zoubin Ghahramani (2015)
Relational learning and network modelling using infinite latent attribute models
IEEE TPAMI Special Issue on Bayesian Nonparametrics
Material: paper | supplementary | bib

Konstantina Palla, David A. Knowles, Zoubin Ghahramani (2014)
A reversible infinite HMM using normalised random measures
International Conference on Machine Learning (ICML), 2014 Material: paper | poster | slides | bib

Konstantina Palla, David A. Knowles, Zoubin Ghahramani (2014)
A dependent partition-valued process for multitask clustering and time evolving network modelling
MAterial: paper

Simon Lacoste-Julien, Konstantina Palla, Alexander Davies, Gjergji Kasneci, Thore Graepel and Zoubin Ghahramani (2013)
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases
Knowledge Discovery in Databases (KDD), 2013 Material: paper | bib

Konstantina Palla, David A. Knowles, Zoubin Ghahramani (2012)
An Infinite Latent Attribute Model for Network Data
International Conference on Machine Learning (ICML), 2012
Material: paper | poster | code | bib

Konstantina Palla, David A. Knowles and Zoubin Ghahramani (2012)
A nonparametric variable clustering model
Neural Information Processing Systems (NIPS), 2012
Material: paper | bib | code