Tibério S. Caetano

Publication Activity (10 Years)

Years Active: 2001-2020
Publications (10 Years): 6

Top Venues

CoRR

NIPS

ICML

BMC Bioinform.

Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (PHD)

Education History

Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

PHD

Publications

Daniel Steinberg, Alistair Reid, Simon O'Callaghan, Finnian Lattimore, Lachlan McCalman, Tibério S. Caetano
Fast Fair Regression via Efficient Approximations of Mutual Information. CoRR (2020)
Pengdong Xiao, Nick Barnes, Tibério S. Caetano
3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields. IEEE Trans. Image Process. 27 (3) (2018)
Marian-Andrei Rizoiu, Lexing Xie, Tibério S. Caetano, Manuel Cebrián
Evolution of Privacy Loss in Wikipedia. WSDM (2016)
Giorgio Patrini, Richard Nock, Stephen Hardy, Tibério S. Caetano
Fast Learning from Distributed Datasets without Entity Matching. IJCAI (2016)
Giorgio Patrini, Richard Nock, Stephen Hardy, Tibério S. Caetano
Fast Learning from Distributed Datasets without Entity Matching. CoRR (2016)
Richard Nock, Giorgio Patrini, Finnian Lattimore, Tibério S. Caetano
The Crossover Process: Learnability meets Protection from Inference Attacks. CoRR (2016)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
Marian-Andrei Rizoiu, Lexing Xie, Tibério S. Caetano, Manuel Cebrián
Evolution of Privacy Loss in Wikipedia. CoRR (2015)
Aaron Defazio, Justin Domke, Tibério S. Caetano
Finito: A faster, permutable incremental gradient method for big data problems. ICML (2014)
Giorgio Patrini, Richard Nock, Tibério S. Caetano, Paul Rivera
(Almost) No Label No Cry. NIPS (2014)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
A Hybrid Loss for Multiclass and Structured Prediction. CoRR (2014)
Xianghang Liu, Xinhua Zhang, Tibério S. Caetano
Bayesian Models for Structured Sparse Estimation via Set Cover Prior. ECML/PKDD (2) (2014)
Aaron J. Defazio, Tibério S. Caetano
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation. CoRR (2014)
Aaron J. Defazio, Tibério S. Caetano, Justin Domke
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems. CoRR (2014)
Julian J. McAuley, Arnau Ramisa, Tibério S. Caetano
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies. Int. J. Comput. Vis. 104 (3) (2013)
Ilana Lichtenstein, Michael A. Charleston, Tibério S. Caetano, Jennifer R. Gamble, Mathew A. Vadas
Active Subnetwork Recovery with a Mechanism-Dependent Scoring Function; with application to Angiogenesis and Organogenesis studies. BMC Bioinform. 14 (2013)
Aaron Defazio, Tibério S. Caetano
A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training. ICML (2012)
Aaron Defazio, Tibério S. Caetano
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation. NIPS (2012)
Xianghang Liu, James Petterson, Tibério S. Caetano
Learning as MAP Inference in Discrete Graphical Models. NIPS (2012)
Nick Barnes, Peter Baumgartner, Tibério S. Caetano, Hugh F. Durrant-Whyte, Gerwin Klein, Penelope Sanderson, Abdul Sattar, Peter J. Stuckey, Sylvie Thiébaux, Pascal Van Hentenryck, Toby Walsh
AI@NICTA. AI Mag. 33 (3) (2012)
Aaron Defazio, Tibério S. Caetano
A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training CoRR (2012)
Julian J. McAuley, Tibério S. Caetano
Fast matching of large point sets under occlusions. Pattern Recognit. 45 (1) (2012)
Tibério S. Caetano
The Interplay of Statistical and Structural Pattern Recognition from a Machine Learning Perspective. ICPRAM (1) (2012)
Junbin Gao, Qinfeng Shi, Tibério S. Caetano
Dimensionality reduction via compressive sensing. Pattern Recognit. Lett. 33 (9) (2012)
Julian J. McAuley, Arnau Ramisa, Tibério S. Caetano
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study. EMMCVPR (2011)
James Petterson, Tibério S. Caetano
Submodular Multi-Label Learning. NIPS (2011)
Julian J. McAuley, Tibério S. Caetano
Faster Algorithms for Max-Product Message-Passing. J. Mach. Learn. Res. 12 (2011)
Pengdong Xiao, Nick Barnes, Paulette Lieby, Tibério S. Caetano
Sparse Update for Loopy Belief Propagation: Fast Dense Registration for Large State Spaces. DICTA (2010)
Julian J. McAuley, Teofilo de Campos, Tibério S. Caetano
Unified graph matching in Euclidean spaces. CVPR (2010)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano
Conditional Random Fields and Support Vector Machines: A Hybrid Approach CoRR (2010)
Julian J. McAuley, Tibério S. Caetano
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms. AISTATS (2010)
James Petterson, Tibério S. Caetano
Reverse Multi-Label Learning. NIPS (2010)
James Petterson, Alexander J. Smola, Tibério S. Caetano, Wray L. Buntine, Shravan M. Narayanamurthy
Word Features for Latent Dirichlet Allocation. NIPS (2010)
Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, S. V. N. Vishwanathan, James Petterson
Multitask Learning without Label Correspondences. NIPS (2010)
Julian J. McAuley, Tibério S. Caetano
Exploiting Data-Independence for Fast Belief-Propagation. ICML (2010)
Pengdong Xiao, Nick Barnes, Paulette Lieby, Tibério S. Caetano
Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration. DICTA (2009)
James Petterson, Tibério S. Caetano, Julian J. McAuley, Jin Yu
Exponential Family Graph Matching and Ranking CoRR (2009)
Novi Quadrianto, Tibério S. Caetano, John Lim, Dale Schuurmans
Convex Relaxation of Mixture Regression with Efficient Algorithms. NIPS (2009)
Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine
Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM (2009)
Tibério S. Caetano, Julian J. McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola
Learning Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 31 (6) (2009)
Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, Quoc V. Le
Estimating Labels from Label Proportions. J. Mach. Learn. Res. 10 (2009)
Julian J. McAuley, Tibério S. Caetano
Exact Inference in Graphical Models: is There More to it? CoRR (2009)
James Petterson, Tibério S. Caetano, Julian J. McAuley, Jin Yu
Exponential Family Graph Matching and Ranking. NIPS (2009)
Longbin Chen, Julian J. McAuley, Rogério Schmidt Feris, Tibério S. Caetano, Matthew A. Turk
Shape classification through structured learning of matching measures. CVPR (2009)
James Petterson, Tibério S. Caetano
Scalable Inference for Latent Dirichlet Allocation CoRR (2009)
Julian J. McAuley, Tibério S. Caetano
An expected-case sub-cubic solution to the all-pairs shortest path problem in R CoRR (2009)
Julian J. McAuley, Tibério S. Caetano, Marconi S. Barbosa
Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching. IEEE Trans. Pattern Anal. Mach. Intell. 30 (11) (2008)
Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, Quoc V. Le
Estimating labels from label proportions. ICML (2008)
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola
Robust Near-Isometric Matching via Structured Learning of Graphical Models CoRR (2008)
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola
Robust Near-Isometric Matching via Structured Learning of Graphical Models. NIPS (2008)
Tibério S. Caetano, Julian J. McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola
Learning Graph Matching CoRR (2008)
Julian J. McAuley, Tibério S. Caetano, Marconi S. Barbosa
Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching CoRR (2007)
Tibério S. Caetano, Li Cheng, Quoc V. Le, Alexander J. Smola
Learning Graph Matching. ICCV (2007)
Julian John McAuley, Tibério S. Caetano
High-Order Nonparametric Belief-Propagation for Fast Image Inpainting CoRR (2007)
Pengdong Xiao, Nick Barnes, Tibério S. Caetano, Paulette Lieby
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching. CVPR (2007)
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. ISI (2006)
Tibério S. Caetano, Terry Caelli
Approximating the problem, not the solution: An alternative view of point set matching. Pattern Recognit. 39 (4) (2006)
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola, Matthias O. Franz
Learning high-order MRF priors of color images. ICML (2006)
Tibério S. Caetano, Terry Caelli
A Unified Formulation of Invariant Point Pattern Matching. ICPR (3) (2006)
Tibério S. Caetano, Terry Caelli, Dale Schuurmans, Dante Augusto Couto Barone
Graphical Models and Point Pattern Matching. IEEE Trans. Pattern Anal. Mach. Intell. 28 (10) (2006)
Terry Caelli, Tibério S. Caetano
Graphical models for graph matching: Approximate models and optimal algorithms. Pattern Recognit. Lett. 26 (3) (2005)
Tibério S. Caetano, Terry Caelli
Approximating the Problem, not the Solution: An Alternative View of Point Set Matching. GbRPR (2005)
Tibério S. Caetano, Terry Caelli, Dante Augusto Couto Barone
A Comparison of Junction Tree and Relaxation Algorithms for Point Matching using Different Distance Metrics. ICPR (2) (2004)
Tibério S. Caetano, Terry Caelli, Dante Augusto Couto Barone
Graphical Models for Graph Matching. CVPR (2) (2004)
Tibério S. Caetano, Terry Caelli, Dante Augusto Couto Barone
An Optimal Probabilistic Graphical Model for Point Set Matching. SSPR/SPR (2004)
Tibério S. Caetano, Sílvia D. Olabarriaga, Dante Augusto Couto Barone
Do mixture models in chromaticity space improve skin detection? Pattern Recognit. 36 (12) (2003)
Tibério S. Caetano, Sílvia D. Olabarriaga, Dante Augusto Couto Barone
Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling. SIBGRAPI (2002)
Tibério S. Caetano, Dante Augusto Couto Barone
A Probabilistic Model for the Human Skin Color. ICIAP (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tibério S. Caetano