• The Crossover Process: Learnability Meets Protection from Inference Attacks
    Submitted. . [ .pdf ].
    R. Nock, G. Patrini, F. Lattimore and T. Caetano.
  • Fast Learning from Distributed Datasets without Entity Resolution
    IJCAI 2016. [ .pdf ].
    G. Patrini, R. Nock, S. Hardy and T. Caetano.
  • Evolution of Privacy Loss in Widipedia
    WSDM 2016. [ .pdf ].
    M. A. Rizoiu, L. Xie, T. Caetano and M. Cebrian.
  • A Hybrid Loss for Multiclass and Structured Prediction
    IEEE Trans. on PAMI, Volume 37, No. 1, 2015. [ .pdf ]
    Q. Shi, M. Reid, T. Caetano, A. van den Hengel and Z. Wang
  • (Almost) no label no cry
    NIPS 2014, [ .pdf ].
    G. Patrini, R. Nock, P. Rivera and T. Caetano.
  • Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
    ICML 2014. [ .pdf ].
    A. Defazio, T. S. Caetano and J. Domke.
  • Bayesian Models for Structured Sparse Estimation via Set Cover Prior
    ECMLPKDD 2014. [ .pdf ].
    X. Liu, X. Zhang and T. S. Caetano.
  • Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies
    International Journal of Computer Vision, September 2013, Volume 104, Issue 3, pp 343-361. [ .pdf ].
    J. J. McAuley, A. Ramisa and T. S. Caetano.
  • Active Subnetwork Recovery with a Mechanism-Dependent Scoring Function; with application to Angiogenesis and Organogenesis studies
    BMC Bioinformatics, Vol. 14, No. 59, 2013. [ .pdf ].
    I. Lichtenstein, M. Charleston, T. Caetano, J. Gamble, T. Vadas
  • A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
    NIPS 2012, [ .pdf ].
    A. J. Defazio and T. S. Caetano.
  • Learning as MAP Inference in Discrete Graphical Models
    NIPS 2012, [ .pdf ].
    X. Liu, J. Petterson and T. S. Caetano.
  • AI@NICTA
    AI Magazine, Vol. 33, No. 3, 2012. [ .pdf ].
    N. Barnes, P. Baumgartner, T. Caetano, H. Durrant-Whyte, G. Klein, P. Sanderson, A. Sattar, P. Stuckey, S. Thiebaux, P. Van Hentenryck, T. Walsh
  • A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training
    ICML 2012. [ .pdf ].
    A. J. Defazio and T. S. Caetano.
  • Dimensionality Reduction via Compressive Sensing
    Pattern Recognition Letters 33 (2012) 1163-1170. [ .pdf ].
    J. Gao, Q. Shi and T. S. Caetano.
  • Fast matching of large point sets under occlusions
    Pattern Recognition 45 (2012) 563-569. [ .pdf ].
    J. J. McAuley and T. S. Caetano.
  • Learning to Rank and Quadratic Assignment
    DISCML 2011. NIPS Workshop on Discrete Optimization in Machine Learning (2011) [ .pdf ].
    T. Mensink, J. Verbeek and T. Caetano.
  • Submodular Multi-Label Learning
    NIPS 2011.pdf ].
    J. Petterson and T. Caetano.
  • Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
    EMMCVPR 2011. [ .pdf ].
    J. J. McAuley, A. Ramisa and T. S. Caetano.
  • Faster Algorithms for Max-Product Message-Passing
    Journal of Machine Learning Research,12 (2011) 1349-1388. [ .pdf ].
    J. J. McAuley and T. S. Caetano.
  • Conditional Random Fields and Support Vector Machines: A Hybrid Approach [ arxiv preprint ]
    Q. Shi, M. D. Reid, T. Caetano.
  • Graphical Models
    Encyclopedia of Machine Learning, 2010.pdf ].
    J. McAuley, T. Caetano and W. Buntine.
  • Sparse update for loopy belief propagation: fast dense registration for large state spaces
    DICTA 2010.pdf ].
    P. Xiao, N. Barnes, P. Lieby, T. Caetano.
  • Reverse Multi-Label Learning
    NIPS 2010.pdf ].
    J. Petterson and T. Caetano.
  • Word Features for Latent Dirichlet Allocation
    NIPS 2010.pdf ].
    J. Petterson, A. Smola, T. Caetano, W. Buntine, S. Narayanamurthy
  • Multitask Learning without Label Correspondences
    NIPS 2010.pdf ].
    N. Quadrianto, A. Smola, T. Caetano, S. V. N. Vishwanathan and J. Petterson
  • Exploiting Data-Independence for Fast Belief Propagation
    ICML 2010. [ .pdf ]
    J. J. McAuley and T. S. Caetano.
  • Unified Graph Matching in Euclidean Spaces
    CVPR 2010. [ .pdf ]
    J. J. McAuley, T. de Campos and T. S. Caetano.
  • Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
    AISTATS 2010. [ .pdf ]
    J. J. McAuley and T. S. Caetano.
  • A Expected-Case Sub-Cubic Solution to the All-Pairs Shortest Path Problem in R [ arxiv preprint ]
    J. J. McAuley and T. S. Caetano.
  • Faster Algorithms for Max-Product Message-Passing [ arxiv preprint ]
    J. J. McAuley and T. S. Caetano.
  • Scalable Inference for Latent Dirichlet Allocation [ arxiv preprint ]
    J. Petterson and T. S. Caetano.
  • Estimating Labels from Label Proportions.
    Journal of Machine Learning Research, 10(Oct): 2349-2374, 2009. [ .pdf ]
    N. Quadrianto, A. J. Smola, T. S. Caetano and Q. V. Le.
  • Learning Graph Matching.
    IEEE Trans. on PAMI, 10(Oct): 2349-2374, 2009. [ .pdf ][ data ][ code ]
    T. S. Caetano, J. J. McAuley, L. Cheng, Q. V. Le and A. J. Smola
  • Exponential Family Graph Matching and Ranking.
    NIPS 2009. [ .pdf ]
    J. Petterson, T. S. Caetano, J. J. McAuley and J. Yu.
  • Convex Relaxation of Mixture Regression with Efficient Algorithms.
    NIPS 2009. [ .pdf ]
    N. Quadrianto, T. S. Caetano, J. Lim and D. Schuurmans.
  • Kernel Conditional Quantile Estimation via Reduction Revisited.
    ICDM 2009. [ .pdf ]
    N. Quadrianto, K. Kersting, M. Reid, T. S. Caetano, and W. Buntine.
  • Shape Classification Through Structured Learning of Matching Measures.
    CVPR 2009. [ .pdf ]
    L. Chen, J. J. McAuley, R. S. Feris, T. S. Caetano and M. Turk.
  • Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration.
    DICTA 2009, [ .pdf ]
    P. Xiao, N. Barnes, P. Leiby and T. S. Caetano.
  • Faster Graphical Models for Point Pattern Matching.
    Spatial Vision, v. 22, n. 5, p. 443-453(11), 2009. [ .pdf ]
    T. S. Caetano and J. J. McAuley.
  • Robust Near-Isometric Matching via Structured Learning of Graphical Models.
    NIPS 2008. [ .pdf ]
    J. J. McAuley, T. S. Caetano and A. J. Smola.
  • Graph rigidity, cyclic belief propagation and point pattern matching.
    IEEE Trans. PAMI, 30 (11), p. 2047--2054, 2008. [ .pdf ]
    J. J. McAuley, T. S. Caetano, and M. S. Barbosa.
  • Inferring Differential Leukocyte Activity from Antibody Microarrays using a Latent Variable Model.
    Genome Informatics, 21:126-137, 2008. [ .pdf ]
    J. W. K. Ho, R. Koundinya, T. S. Caetano, C. G. Dos Remedios and M. A. Charleston.
  • Estimating labels from label proportions.
    ICML 2008. [ .pdf ]
    N. Quadrianto, A. J. Smola, T. S. Caetano, and Q. V. Le.
  • An mrf and gaussian curvature based shape representation for shape matching.
    CVPR 2007. [ .pdf ]
    P. Xiao, N. Barnes, T. S. Caetano, and P. Lieby.
  • Learning graph matching.
    ICCV 2007. [ .pdf ]
    T. S. Caetano, L. Cheng, Q. V. Le, and A. J. Smola.
  • Rich club phenomenon across complex network hierarchies.
    Applied Physics Letters, 91(084103), 2007. [ .pdf ]
    J. J. McAuley, L. da F. Costa, and T. S. Caetano.
  • Graphical Models and Point Pattern Matching.
    IEEE Trans. PAMI, 28 (10), p. 1646-1663, 2006. [ .pdf ]
    T. S. Caetano, T. Caelli, D. Schuurmans and D. A. C. Barone.
  • A unified formulation of invariant point pattern matching.
    ICPR 2006. [ .pdf ]
    T. S. Caetano and T. Caelli.
  • An embedded bayesian network hidden markov model for digital forensics.
    ISI 2006.
    O. Y. de Vel, N. Liu, T. Caelli, and T. S. Caetano.
  • Approximating the problem, not the solution: an alternative view of point set matching.
    Pattern Recognition, 39:552-561, 2006. [ .pdf ]
    T. S. Caetano and T. Caelli.
  • Learning high-order MRF priors of color images.
    ICML 2006. [ http | .pdf ]
    J. McAuley, T. Caetano, A.J. Smola, and M. Franz.
  • Approximating the problem, not the solution: An alternative view of point set matching.
    GBRPR 2005. [ .pdf ]
    T. S. Caetano and T. Caelli.
  • Graphical models for graph matching: approximate models and optimal algorithms.
    Pattern Recognition Letters, 26:339-346, 2005. [ .pdf ]
    T. Caelli and T. Caetano.
  • Graphical models for graph matching.
    CVPR 2004. [ .pdf ]
    T. S. Caetano, T. Caelli, and D. A. C. Barone.
  • An optimal probabilistic graphical model for point set matching.
    SSPR 2004. [ .pdf ]
    T. S. Caetano, T. Caelli, and D. A. C. Barone.
  • A comparison of junction tree and relaxation algorithms for point matching using different distance metrics.
    ICPR 2004. [ .pdf ]
    T. S. Caetano, T. Caelli, and D. A. C. Barone.
  • Graphical models and point set matching.
    PhD thesis, Universidade Federal do Rio Grande do Sul, 2004. [ .pdf ]
    T. S. Caetano.
  • Do mixture models in chromaticity space improve skin detection?
    Pattern Recognition, 36(12):3019-3021, December 2003. [ .pdf ]
    T.S. Caetano, S.D. Olabarriaga, and D. A. C. Barone.
  • Performance evaluation of single and multiple-gaussian models for skin color modeling.
    SIBGRAPI 2002. [ .pdf ]
    T. S. Caetano, S. D. Olabarriaga, and D. A. C. Barone.
  • A probabilistic model for the human skin color.
    ICIAP 2001. [ .pdf ]
    T. S. Caetano and D. A. C. Barone.
  • Nonmonotonic maps and laser bifurcations in laser accelerators.
    Chaos, Solitons and Fractals, 7(2):165-175, 1996. [ .pdf ]
    T.S. Caetano, F. Couto, G. Corso, R. Pakter, L. Brunnet, and F. B. Rizzato.
  • Chaotic dynamics induced by space-charge waves in cyclotron resonance accelerators.
    Physical Review E, 54(4):4202-4210, 1996. [ .pdf ]
    R. Pakter, I. L. Caldas, F. Couto, T. Caetano, and F. B. Rizzato.
  • Bifurcations leading to stochasticity in a cyclotron-maser system.
    Physics of Plasmas, 1:4099-4104, December 1994. [ .pdf ]
    R. Pakter, G. Corso, T. S. Caetano, D. Dillenburg, and F. B. Rizzato.