Ricardo Silva
Ricardo Silva
Associate Professor, Department of Statistical Science, University College London
Verified email at stats.ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Counterfactual Fairness
M Kusner, J Loftus, C Russell, R Silva
Advances in Neural Information Processing Systems (NIPS 2017) 30, 4066-4076, 2017
3752017
Learning the structure of linear latent variable models
R Silva, R Scheines, C Glymour, P Spirtes
Journal of Machine Learning Research 7 (Feb), 191-246, 2006
1812006
Probabilistic workflow mining
R Silva, J Zhang, JG Shanahan
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
792005
Predicting traffic volumes and estimating the effects of shocks in massive transportation systems
R Silva, SM Kang, EM Airoldi
Proceedings of the National Academy of Sciences 112 (18), 5643-5648, 2015
582015
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
C Russell, MJ Kusner, J Loftus, R Silva
Advances in Neural Information Processing Systems 30, 6417-6426, 2017
532017
The hidden life of latent variables: Bayesian learning with mixed graph models
R Silva, Z Ghahramani
The Journal of Machine Learning Research 10, 1187-1238, 2009
532009
Global determinants of navigation ability
A Coutrot, R Silva, E Manley, W De Cothi, S Sami, VD Bohbot, JM Wiener, ...
Current Biology 28 (17), 2861-2866. e4, 2018
452018
Method and apparatus for probabilistic workflow mining
J Shanahan, R Silva, J Zhang
US Patent App. 11/506,844, 2007
392007
Causal reasoning for algorithmic fairness
JR Loftus, C Russell, MJ Kusner, R Silva
arXiv preprint arXiv:1805.05859, 2018
372018
Hidden common cause relations in relational learning
R Silva, W Chu, Z Ghahramani
Advances in neural information processing systems, 1345-1352, 2008
312008
Learning measurement models for unobserved variables
R Silva, R Scheines, C Glymour, PL Spirtes
arXiv preprint arXiv:1212.2516, 2012
262012
Analogical reasoning with relational Bayesian sets
R Silva, KA Heller, Z Ghahramani
Artificial Intelligence and Statistics, 500-507, 2007
232007
Bayesian semi-supervised learning with graph gaussian processes
YC Ng, N Colombo, R Silva
Advances in Neural Information Processing Systems, 1683-1694, 2018
192018
Generalized measurement models
R Silva, R Scheines
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2005
172005
Data filtering for automatic classification of rocks from reflectance spectra
J Moody, R Silva, J Vanderwaart
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
17*2001
Mixed cumulative distribution networks
R Silva, C Blundell, YW Teh
Proceedings of the Fourteenth International Conference on Artificial …, 2011
162011
MCMC methods for Bayesian mixtures of copulas
R Silva, R Gramacy
Artificial Intelligence and Statistics, 512-519, 2009
162009
Expert SINTA, anais do XII Simpósio Brasileiro de Engenharia de Software
JHM NOGUEIRA, RBA SILVA, JFL ALCÂNTARA, RC ANDRADE
São Carlos, SP, 1996
15*1996
Automatic discovery of latent variable models
R Silva
Carnegie Mellon University, 2005
142005
Making Decisions that Reduce Discriminatory Impacts
M Kusner, C Russell, J Loftus, R Silva
Proceedings of the 36th International Conference on Machine Learning, 3591-3600, 2019
13*2019
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