
I am a second third year PhD student in the Machine Learning Group. My supervisor is Carl Edward Rasmussen, and my advisor is Zoubin Ghahramani. I am interested in the mathematics and statistical theory underlying machine learning algorithms, in particular Bayesian nonparametrics and reproducing kernel Hilbert spaces. Before starting my PhD I also worked on computational cognitive science in Máté Lengyel's Computational Learning and Memory Group. More recently I have gained interest in quantum information and statistics.
For a graphical representation of my research interests click here.
Houlsby NMT, Huszár F, Ghassemi M, Orbán G, Wolpert DM, Lengyel M
Cognitive tomography reveals rich taskinvariant mental representations
under review
Huszár F and Houlsby NMT. Adaptive Bayesian Quantum Tomography Physical Review A 85, 052120, 2012 [ pdf  www  arXiv ] 
Houlsby NMT, HernandezLobato JM, Huszár F, Ghahramani Z, Lengyel M.
Collaborative Gaussian Processes for Preference Learning
Neural Information Processing Systems 2012
[ pdf ]
Huszár F and Duvenaud DK OptimallyWeighted Herding is Bayesian Quadrature Uncertainty and Artificial Intelligence 2012 [ pdf  arXiv  code] 
LacosteJulien S, Huszár F, Ghahramani Z.
Approximate inference for the losscalibrated Bayesian.
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, JMLR W&CP 15:416424, 2011
[ pdf  supplementary ]
Huszár F, Noppeney U, Lengyel M.
Mind reading by machine learning: A doubly Bayesian method for inferring mental representations.
Proceedings of the 32nd Annual Conference of the Cognitive Science Society, 28102815, 2010.
[ pdf  supplementary ]
Szathmáry E, Szatmáry Z, Ittzes P, Számadó S, Zachar I, Huszár F, Fedor A, Varga M.
In silico evolutionary developmental neurobiology and the origin of natural language.
In (C. Lyon, C. et al. eds) Emergence of Communication and Language, 151188. 2007.
[ .pdf  www ]
Huszár F, O'Keeffe SG, Hein J.
Corner cutting approaches to EthierGriffithsTavaré recursions.
Technical report, Genome Analysis and Bioinformatics Group, Department of Statistics, University of Oxford, 2008.
[ pdf  www ]