Ferenc Huszar

Ferenc Huszár
PhD student in machine learning

Computational and Biological Learning Lab
Department of Engineering, University of Cambridge
member of
Trinity College Cambridge
senior data scientist
PeerIndex

About me


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.

Papers


In preparation

Houlsby NMT, Huszár F, Ghassemi M, Orbán G, Wolpert DM, Lengyel M
Cognitive tomography reveals rich task-invariant mental representations
under review

Journal paper

figure 1 Huszár F and Houlsby NMT.
Adaptive Bayesian Quantum Tomography
Physical Review A 85, 052120, 2012
[ pdf | www | arXiv ]

Peer-reviewed conference papers

Houlsby NMT, Hernandez-Lobato JM, Huszár F, Ghahramani Z, Lengyel M.
Collaborative Gaussian Processes for Preference Learning
Neural Information Processing Systems 2012
[ pdf ]

figure 1 Huszár F and Duvenaud DK
Optimally-Weighted Herding is Bayesian Quadrature
Uncertainty and Artificial Intelligence 2012
[ pdf | arXiv | code]

Lacoste-Julien S, Huszár F, Ghahramani Z.
Approximate inference for the loss-calibrated Bayesian.
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, JMLR W&CP 15:416-424, 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, 2810-2815, 2010.
[ pdf | supplementary ]

Book chapter

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, 151-188. 2007.
.pdf | www ]

Technical reports, etc

Huszár F, O'Keeffe SG, Hein J.
Corner cutting approaches to Ethier-Griffiths-Tavaré recursions.
Technical report, Genome Analysis and Bioinformatics Group, Department of Statistics, University of Oxford, 2008.
pdf | www ]


 
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