Ricardo Silva
Ricardo Silva
Professor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCL
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
5602017
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
1952006
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
852017
Probabilistic workflow mining
R Silva, J Zhang, JG Shanahan
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
852005
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
752018
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
692015
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
582009
Causal reasoning for algorithmic fairness
JR Loftus, C Russell, MJ Kusner, R Silva
arXiv preprint arXiv:1805.05859, 2018
522018
Method and apparatus for probabilistic workflow mining
J Shanahan, R Silva, J Zhang
US Patent App. 11/506,844, 2007
412007
Hidden common cause relations in relational learning
R Silva, W Chu, Z Ghahramani
Advances in neural information processing systems 20, 1345-1352, 2007
342007
Learning measurement models for unobserved variables
R Silva, R Scheines, C Glymour, PL Spirtes
arXiv preprint arXiv:1212.2516, 2012
282012
Bayesian semi-supervised learning with graph gaussian processes
YC Ng, N Colombo, R Silva
arXiv preprint arXiv:1809.04379, 2018
252018
Analogical reasoning with relational Bayesian sets
R Silva, KA Heller, Z Ghahramani
Artificial Intelligence and Statistics, 500-507, 2007
232007
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
21*2019
Alpha-beta divergence for variational inference
JB Regli, R Silva
arXiv preprint arXiv:1805.01045, 2018
202018
Generalized measurement models
R Silva, R Scheines
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2005
202005
MCMC methods for Bayesian mixtures of copulas
R Silva, R Gramacy
Artificial Intelligence and Statistics, 512-519, 2009
182009
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
18*2001
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
N Kilbertus, PJ Ball, MJ Kusner, A Weller, R Silva
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, 2019
172019
Mixed cumulative distribution networks
R Silva, C Blundell, YW Teh
Proceedings of the Fourteenth International Conference on Artificial …, 2011
172011
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Articles 1–20