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Ricardo Bezerra de Andrade e Silva
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2010 – 2019
- 2015
- [j6]Ricardo Bezerra de Andrade e Silva, Alfredo A. Kalaitzis:
Bayesian inference via projections. Stat. Comput. 25(4): 739-753 (2015) - 2014
- [i9]Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy:
Gaussian Process Structural Equation Models with Latent Variables. CoRR abs/1408.2042 (2014) - 2013
- [c18]Alfredo A. Kalaitzis, Ricardo Bezerra de Andrade e Silva:
Flexible sampling of discrete data correlations without the marginal distributions. NIPS 2013: 2517-2525 - [p1]Ricardo Bezerra de Andrade e Silva:
A MCMC Approach for Learning the Structure of Gaussian Acyclic Directed Mixed Graphs. Statistical Models for Data Analysis 2013: 343-351 - [i8]Alfredo A. Kalaitzis, Ricardo Bezerra de Andrade e Silva:
Flexible Sampling for the Gaussian Copula Extended Rank Likelihood Model. CoRR abs/1306.2685 (2013) - 2012
- [i7]Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani:
Bayesian Inference for Gaussian Mixed Graph Models. CoRR abs/1206.6874 (2012) - [i6]Ricardo Bezerra de Andrade e Silva:
Latent Composite Likelihood Learning for the Structured Canonical Correlation Model. CoRR abs/1210.4905 (2012) - [i5]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning Measurement Models for Unobserved Variables. CoRR abs/1212.2516 (2012) - 2011
- [j5]Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva:
Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. Bioinform. 27(13): 374-382 (2011) - [c17]Ricardo Bezerra de Andrade e Silva:
Thinning Measurement Models and Questionnaire Design. NIPS 2011: 307-315 - [c16]Jiji Zhang, Ricardo Bezerra de Andrade e Silva:
Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". AISTATS 2011: 16-18 - [c15]Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh:
Mixed Cumulative Distribution Networks. AISTATS 2011: 670-678 - 2010
- [c14]Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy:
Gaussian Process Structural Equation Models with Latent Variables. UAI 2010: 537-545 - [r1]Ricardo Bezerra de Andrade e Silva:
Causality. Encyclopedia of Machine Learning 2010: 159-166 - [i4]Ricardo Bezerra de Andrade e Silva:
Measuring Latent Causal Structure. CoRR abs/1001.1079 (2010) - [i3]Ricardo Bezerra de Andrade e Silva:
Gaussian Process Structural Equation Models with Latent Variables. CoRR abs/1002.4802 (2010) - [i2]Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh:
Mixed Cumulative Distribution Networks. CoRR abs/1008.5386 (2010)
2000 – 2009
- 2009
- [j4]Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani:
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models. J. Mach. Learn. Res. 10: 1187-1238 (2009) - [c13]Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy:
MCMC Methods for Bayesian Mixtures of Copulas. AISTATS 2009: 512-519 - [c12]Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani:
Factorial Mixture of Gaussians and the Marginal Independence Model. AISTATS 2009: 520-527 - [i1]Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi:
Ranking Relations using Analogies in Biological and Information Networks. CoRR abs/0912.5193 (2009) - 2007
- [c11]Ricardo Bezerra de Andrade e Silva, Wei Chu, Zoubin Ghahramani:
Hidden Common Cause Relations in Relational Learning. NIPS 2007: 1345-1352 - [c10]Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani:
Analogical Reasoning with Relational Bayesian Sets. AISTATS 2007: 500-507 - 2006
- [j3]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning the Structure of Linear Latent Variable Models. J. Mach. Learn. Res. 7: 191-246 (2006) - [c9]Ricardo Bezerra de Andrade e Silva, Richard Scheines:
Bayesian learning of measurement and structural models. ICML 2006: 825-832 - [c8]Ricardo Bezerra de Andrade e Silva, Richard Scheines:
Towards Association Rules with Hidden Variables. PKDD 2006: 617-624 - [c7]Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani:
Bayesian Inference for Gaussian Mixed Graph Models. UAI 2006 - 2005
- [c6]Ricardo Bezerra de Andrade e Silva, Richard Scheines:
New d-separation identification results for learning continuous latent variable models. ICML 2005: 808-815 - [c5]Ricardo Bezerra de Andrade e Silva, Jiji Zhang
, James G. Shanahan:
Probabilistic workflow mining. KDD 2005: 275-284 - 2003
- [c4]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning Measurement Models for Unobserved Variables. UAI 2003: 543-550 - 2002
- [j2]Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart, Joseph D. Ramsey, Clark Glymour:
Classification and filtering of spectra: A case study in mineralogy. Intell. Data Anal. 6(6): 517-530 (2002) - 2001
- [j1]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir:
Hybrid systems of local basis functions. Intell. Data Anal. 5(3): 227-244 (2001) - [c3]Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart:
Data filtering for automatic classification of rocks from reflectance spectra. KDD 2001: 347-352 - 2000
- [c2]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir:
Obtaining Simplified Rule Bases by Hybrid Learning. ICML 2000: 879-886
1990 – 1999
- 1999
- [c1]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir:
Neural network methods for rule induction. IJCNN 1999: 4232-4236
Coauthor Index
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