Tiberio Caetano

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Julian McAuleyAssociate Professor, UC San DiegoVerified email at eng.ucsd.edu
Alex SmolaAmazon Web ServicesVerified email at smola.org
Terry CaelliDeakin UniversityVerified email at deakin.edu.au
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Novi QuadriantoReader in Machine Learning, Predictive Analytics Lab (PAL), University of SussexVerified email at sussex.ac.uk
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Wray BuntineProfessor, MonashVerified email at monash.edu
Aaron DefazioFacebook AI ResearchVerified email at anu.edu.au
Li ChengAssociate Professor, Department of ECE, University of Alberta, Canada; Adjunct staff, BII, A*STARVerified email at ualberta.ca
Richard NockVerified email at uniagro.fr
Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, UoA | DeepSightX | Smarter RegionsVerified email at adelaide.edu.au
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Giorgio PatriniSensityVerified email at sensity.ai
Mark D. ReidAppleVerified email at reid.name
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
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU Darmstadt, GermanyVerified email at cs.tu-darmstadt.de

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	480	2009
Estimating labels from label proportions. N Quadrianto, AJ Smola, TS Caetano, QV Le Journal of Machine Learning Research 10 (10), 2009	207	2009
Finito: A faster, permutable incremental gradient method for big data problems A Defazio, J Domke International Conference on Machine Learning, 1125-1133, 2014	173	2014
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	161	2006
Rich-club phenomenon across complex network hierarchies JJ McAuley, L da Fontoura Costa, TS Caetano Applied Physics Letters 91 (8), 084103, 2007	150	2007
Word Features for Latent Dirichlet Allocation. J Petterson, AJ Smola, TS Caetano, WL Buntine, SM Narayanamurthy NIPS, 1921-1929, 2010	107	2010
Reverse Multi-Label Learning. J Petterson, TS Caetano NIPS 1 (6), 7, 2010	105	2010
Compressed sensing for longitudinal MRI: an adaptive‐weighted approach L Weizman, YC Eldar, D Ben Bashat Medical physics 42 (9), 5195-5208, 2015	83	2015
Submodular multi-label learning J Petterson, T Caetano Neural Information Processing Systems Foundation, 2011	81	2011
A probabilistic model for the human skin color TS Caetano, DAC Barone Proceedings 11th International Conference on Image Analysis and Processing …, 2001	74	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	64	2002
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
Do mixture models in chromaticity space improve skin detection? TS Caetano, SD Olabarriaga, DAC Barone Pattern Recognition 36 (12), 3019-3021, 2003	56	2003
Aviatr—aerial vehicle for in-situ and airborne titan reconnaissance JW Barnes, L Lemke, R Foch, CP McKay, RA Beyer, J Radebaugh, ... Experimental Astronomy 33 (1), 55-127, 2012	55	2012
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 1957-1965, 2010	54	2010
Dimensionality reduction via compressive sensing J Gao, Q Shi, TS Caetano Pattern Recognition Letters 33 (9), 1163-1170, 2012	52	2012
Graphical models for graph matching: Approximate models and optimal algorithms T Caelli, T Caetano Pattern Recognition Letters 26 (3), 339-346, 2005	50	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	41	2008
A convex formulation for learning scale-free networks via submodular relaxation AJ Defazio, TS Caetano arXiv preprint arXiv:1407.2697, 2014	39	2014
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	38	2009

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