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Daniel Hern\'andez-Lobato

Identifiers

  • name variant Daniel Hern\'andez-Lobato 0.60 · backfill

Papers (12)

  1. Conditional Diffusion Sampling stat.ML · 2026 · author #4
  2. Scalable Multi-Class Gaussian Process Classification using Expectation Propagation stat.ML · 2017 · author #2
  3. Deep Gaussian Processes for Regression using Approximate Expectation Propagation stat.ML · 2016 · author #2
  4. Predictive Entropy Search for Multi-objective Bayesian Optimization stat.ML · 2015 · author #1
  5. Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation stat.ML · 2015 · author #4
  6. Stochastic Expectation Propagation for Large Scale Gaussian Process Classification stat.ML · 2015 · author #1
  7. Black-box $\alpha$-divergence Minimization stat.ML · 2015 · author #4
  8. Scalable Gaussian Process Classification via Expectation Propagation stat.ML · 2015 · author #1
  9. Non-linear Causal Inference using Gaussianity Measures stat.ML · 2014 · author #1
  10. Mind the Nuisance: Gaussian Process Classification using Privileged Noise stat.ML · 2014 · author #1
  11. Gaussian Process Conditional Copulas with Applications to Financial Time Series stat.ML · 2013 · author #3
  12. Convergent Expectation Propagation in Linear Models with Spike-and-slab Priors stat.ML · 2011 · author #2

Mentions

  • 1307.0373 #3 · backfill · confidence 0.70 Daniel Hern\'andez-Lobato
  • 1112.2289 #2 · backfill · confidence 0.70 Daniel Hern\'andez-Lobato

Frequent Coauthors