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Ricardo Silva

Identifiers

  • name variant Ricardo Silva 0.60 · backfill

Papers (28)

  1. IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning cs.LG · 2026 · author #4
  2. Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models stat.AP · 2026 · author #2
  3. Causal Fine-Tuning under Latent Confounded Shift cs.LG · 2024 · author #9
  4. Sharing and Learning Alloy on the Web cs.CY · 2019 · author #5
  5. Towards Inverse Reinforcement Learning for Limit Order Book Dynamics cs.LG · 2019 · author #6
  6. Bayesian Semi-supervised Learning with Graph Gaussian Processes cs.LG · 2018 · author #3
  7. Ethical Implications of Social Internet of Vehicles Systems cs.CY · 2018 · author #1
  8. Causal Interventions for Fairness stat.ML · 2018 · author #4
  9. Causal Reasoning for Algorithmic Fairness cs.AI · 2018 · author #4
  10. Alpha-Beta Divergence For Variational Inference stat.ML · 2018 · author #2
  11. Modeling goal chances in soccer: a Bayesian inference approach stat.AP · 2018 · author #2
  12. A Dynamic Edge Exchangeable Model for Sparse Temporal Networks stat.ML · 2017 · author #2
  13. Counterfactual Fairness stat.ML · 2017 · author #4
  14. Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages stat.ML · 2016 · author #3
  15. Observational-Interventional Priors for Dose-Response Learning stat.ML · 2016 · author #1
  16. Bayesian Inference in Cumulative Distribution Fields stat.ML · 2015 · author #1
  17. Learning Instrumental Variables with Non-Gaussianity Assumptions: Theoretical Limitations and Practical Algorithms stat.ML · 2015 · author #1
  18. Gaussian Process Structural Equation Models with Latent Variables cs.LG · 2014 · author #1
  19. Causal Inference through a Witness Protection Program stat.ML · 2014 · author #1
  20. Flexible sampling of discrete data correlations without the marginal distributions stat.ML · 2013 · author #2
  21. Learning Measurement Models for Unobserved Variables cs.LG · 2012 · author #1
  22. Latent Composite Likelihood Learning for the Structured Canonical Correlation Model stat.ML · 2012 · author #1
  23. Bayesian Inference for Gaussian Mixed Graph Models stat.ME · 2012 · author #1
  24. Mixed Cumulative Distribution Networks stat.ML · 2010 · author #1
  25. Gaussian Process Structural Equation Models with Latent Variables cs.LG · 2010 · author #1
  26. Measuring Latent Causal Structure cs.LG · 2010 · author #1
  27. Ranking relations using analogies in biological and information networks stat.ME · 2009 · author #1
  28. On estimating covariances between many assets with histories of highly variable length stat.ME · 2007 · author #3

Mentions

  • 1212.2516 #1 · backfill · confidence 0.70 Ricardo Silva
  • 1210.4905 #1 · backfill · confidence 0.70 Ricardo Silva
  • 1206.6874 #1 · backfill · confidence 0.70 Ricardo Silva
  • 1008.5386 #1 · backfill · confidence 0.70 Ricardo Silva
  • 1002.4802 #1 · backfill · confidence 0.70 Ricardo Silva
  • 1001.1079 #1 · backfill · confidence 0.70 Ricardo Silva
  • 0912.5193 #1 · backfill · confidence 0.70 Ricardo Silva
  • 0710.5837 #3 · backfill · confidence 0.70 Ricardo Silva

Frequent Coauthors