Talks and Posters

Selected Talks

Dec 2016
A Tutorial on Bayesian Optimization
Universidad Complutense de Madrid, FuzzyMad 2016 [slides]
Nov 2016
Importance Weighted Autoencoders with Random Network Parameters
Universidad Autónoma de Madrid, Machine Learning Group [slides]
Feb 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization
Universidad Autónoma de Madrid, Machine Learning Group [slides] (requires Acrobat Reader)
May 2015
Scalable Gaussian Process Classification via Expectation Propagation
Workshop on Gaussian Process Approximations, Copenhagen [slides]
Nov 2014
A Probabilistic Model for Dirty Multi-task Feature Selection
Universidad Autónoma de Madrid, Spain [slides]
May 2014
Approximate Inference in Practice: Microsoft’s Xbox True-Skill.
Applied Bayesian Methods Master Curse, Universidad Autónoma de Madrid, Spain [slides]
Nov 2013
The Lanczos Algorithm.
Department of Engineering, Cambridge University, United Kingdom [slides]
Sep 2013
Solving Complex Machine Learning Problems using Ensemble Methods.
ECML/PKDD workshop, Prague, Czech Republic [slides]
Aug 2013
Learning Feature Selection Dependencies in Multi-task Learning.
Institute of Computing Technology, Chineese Academy of Sciences, Beijing, China. [slides]
Sep 2012
Advanced Topics in Ensemble Learning.
ECML/PKDD Tutorial, Bristol, United Kingdom [slides]

Selected Posters

Dec 2016
Importance Weighted Autoencoders with Random Network Parameters.
NIPS workshop on Bayesian Deep Learning [pdf]
Jun 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization.
International Conference on Machine Learning [pdf]
May 2016
Scalable Gaussian Process Classification via Expectation Propagation.
International Conference on Artificial Intelligence and Statistics [pdf]
Dec 2015
Stochastic Expectation Propagation for Gaussian Process Classification.
NIPS workshop on Approximate Bayesian Inference [pdf]
Dec 2015
Predictive Entropy Search for Multi-objective Bayesian Optimizaiton.
NIPS workshop on Bayesian Optimizaiton [pdf]
July 2015
A Probabilistic Model for Dirty Multi-task Feature Selection.
International Conference on Machine Learning (ICML), Lille, France. [pdf]
Dec 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise.
Advances in Neural Information Processing Systems (NIPS), Montreal, Canada. [pdf]
Dec 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series.
Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA. [pdf]
Dec 2013
Learning Feature Selection Dependencies in Multi-task Learning.
Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA. [pdf]
Aug 2013
Statistical Tests for the Detection of the Arrow of Time in Vector Autoregressive Models.
International Joint Conference in Artificial Intelligence, Beijing, China. [pdf]
Dec 2011
Robust Multi-Class Gaussian Process Classification.
Advances in Neural Information Processing Systems (NIPS), Granada, Spain. [pdf]