Publications
Sergio Calvo-Ordoñez, Konstantina Palla, Kamil Ciosek
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
arXiv preprint arXiv:2409.03953, 2024.
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Jose Miguel Hernandez Lobato, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI
International Conference on Machine Learning (ICML), 2024
Material: paper
Alex J. Chan, José Luis Redondo García, Fabrizio Silvestri, Colm O’Donnell, Konstantina Palla
Enhancing Content Moderation with Culturally-Aware Models
Material: paper, 2023
Pratik Ghosh, Karen L. Posner, Stephanie L. Hyland, Wil Van Cleve, Melissa Bristow, Dustin R. Long, Konstantina Palla, Bala Nair, Christine Fong, Ronald Pauldine, Monica S. Vavilala, Kenton O’Hara
Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-Technical Perspective.
ACM Transactions on Computer-Human Interaction, 2023.
Cian V Naik, Francois Caron, Judith Rousseau, Yee Whye Teh, Konstantina Palla
Bayesian Nonparametrics for Sparse Dynamic Networks
European Conference on Machine Learning and Data Mining (ECML PKDD), 2022
Material: paper
K.Palla*, S. L. Hyland*, K. Posner, P. Ghosh, B. Nair, M. Bristow, Y. Paleva, B. Williams,
C. Fong, W. Van Cleve, D. R. Long, R. Pauldine, K. O’Hara, K. Takeda, M. S. Vavilala
Intraoperative prediction of post-anaesthesia care unit hypotension
British Journal of Anaesthesia (BJA), 2021
Material: paper
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
Material: paper
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, François 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
Konstantina Palla, Verena Kantere, Timos Sellis. (2008)
A Simulator for a Mobile Peer-to-Peer Database Environment.
International Conference on Mobile Data Management (MDM)
* indicates equal contribution