Tiberio Caetano

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Julian McAuleyProfessor, UC San DiegoVerified email at eng.ucsd.edu
Terry CaelliDeakin UniversityVerified email at deakin.edu.au
Alex SmolaBoson AIVerified email at smola.org
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Novi QuadriantoProfessor of Machine Learning, University of Sussex UK, BCAM Spain, Monash IndonesiaVerified email at sussex.ac.uk
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Aaron DefazioFundamental AI Research team, Meta NYVerified email at anu.edu.au
Wray BuntineProfessor, VinUniversityVerified email at vinuni.edu.vn
Li ChengProfessor, Department of ECE, University of Alberta, CanadaVerified email at ualberta.ca
Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
Richard NockGoogle ResearchVerified email at uniagro.fr
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, University of AdelaideVerified email at adelaide.edu.au
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Mark D. ReidAppleVerified email at reid.name
Pengdong Xiao (肖鹏东)Associate Professor, Department of Computer Science, DigiPen Institute of Technology, SingaporeVerified email at digipen.edu
Giorgio PatriniCEO and Chief Scientist, sensity.aiVerified email at sensity.ai
Paulette LiebyNICTA AustraliaVerified email at nicta.com.au
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Marconi BarbosaThe Eccles Institute of Neuroscience, John Curtin School of Medical Research, The AustralianVerified email at anu.edu.au

Tiberio Caetano

Gradient Institute

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Machine Learning Causality Ethics


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Learning graph matching TS Caetano, JJ McAuley, L Cheng, QV Le, AJ Smola IEEE transactions on pattern analysis and machine intelligence 31 (6), 1048-1058, 2009	578	2009
Estimating labels from label proportions N Quadrianto, AJ Smola, TS Caetano, QV Le Proceedings of the 25th international conference on Machine learning, 776-783, 2008	266	2008
Finito: A faster, permutable incremental gradient method for big data problems A Defazio, J Domke International Conference on Machine Learning, 1125-1133, 2014	195	2014
Rich-club phenomenon across complex network hierarchies JJ McAuley, L da Fontoura Costa, TS Caetano Applied Physics Letters 91 (8), 084103, 2007	187	2007
Graphical models and point pattern matching TS Caetano, T Caelli, D Schuurmans, DAC Barone IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (10), 1646 …, 2006	167	2006
Word features for latent dirichlet allocation J Petterson, W Buntine, S Narayanamurthy, T Caetano, A Smola Advances in Neural Information Processing Systems 23, 2010	128	2010
Reverse multi-label learning J Petterson, T Caetano Advances in neural information processing systems 23, 2010	104	2010
Submodular multi-label learning J Petterson, T Caetano Advances in Neural Information Processing Systems 24, 2011	85	2011
A probabilistic model for the human skin color TS Caetano, DAC Barone Proceedings 11th International Conference on Image Analysis and Processing …, 2001	75	2001
Performance evaluation of single and multiple-Gaussian models for skin color modeling TS Caetano, SD Olabarriaga, DAC Barone Proceedings. XV Brazilian Symposium on Computer Graphics and Image …, 2002	70	2002
Do mixture models in chromaticity space improve skin detection? TS Caetano, SD Olabarriaga, DAC Barone Pattern Recognition 36 (12), 3019-3021, 2003	59	2003
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 2010	58	2010
Learning high-order mrf priors of color images JJ McAuley, TS Caetano, AJ Smola, MO Franz Proceedings of the 23rd international conference on Machine learning, 617-624, 2006	58	2006
Dimensionality reduction via compressive sensing J Gao, Q Shi, TS Caetano Pattern Recognition Letters 33 (9), 1163-1170, 2012	55	2012
Graphical models for graph matching: Approximate models and optimal algorithms T Caelli, T Caetano Pattern Recognition Letters 26 (3), 339-346, 2005	52	2005
Graph rigidity, cyclic belief propagation, and point pattern matching JJ McAuley, TS Caetano, MS Barbosa IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (11), 2047 …, 2008	43	2008
Kernel conditional quantile estimation via reduction revisited N Quadrianto, K Kersting, MD Reid, TS Caetano, WL Buntine 2009 Ninth IEEE International Conference on Data Mining, 938-943, 2009	39	2009
A convex formulation for learning scale-free networks via submodular relaxation A Defazio, T Caetano Advances in neural information processing systems 25, 2012	38	2012
Mobile Content Delivery System with Recommendation-Based Pre-Fetching LH Petander, M Ott, R Hitching, YG Maziere, J Petterson, C Webers, ... US Patent App. 14/350,643, 2014	36	2014
Faster algorithms for max-product message-passing J McAuley, T Caetano MIT Press, 2011	31	2011

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