`Travelled to:`

1 × China

1 × France

2 × USA

`Collaborated with:`

Z.Ghahramani N.Houlsby R.Adams D.Hernández-Lobato D.Lopez-Paz Y.Wu M.A.Gelbart M.W.Hoffman R.P.Adams

`Talks about:`

probabilist (4) model (3) multivari (2) bayesian (2) scalabl (2) matrix (2) factor (2) learn (2) constraint (1) backpropag (1)

## Person: José Miguel Hernández-Lobato

### DBLP: Hern=aacute=ndez-Lobato:Jos=eacute=_Miguel

### Contributed to:

### Wrote 8 papers:

- ICML-2015-Hernandez-Lobato #feature model #multi #probability
- A Probabilistic Model for Dirty Multi-task Feature Selection (DHL, JMHL, ZG), pp. 1073–1082.
- ICML-2015-Hernandez-Lobato15a #constraints #optimisation #predict
- Predictive Entropy Search for Bayesian Optimization with Unknown Constraints (JMHL, MAG, MWH, RPA, ZG), pp. 1699–1707.
- ICML-2015-Hernandez-Lobato15b #learning #network #probability #scalability
- Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.
- ICML-c2-2014-Hernandez-LobatoHG #matrix #modelling #probability #scalability
- Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices (JMHL, NH, ZG), pp. 379–387.
- ICML-c2-2014-Hernandez-LobatoHG14a #matrix #probability
- Probabilistic Matrix Factorization with Non-random Missing Data (JMHL, NH, ZG), pp. 1512–1520.
- ICML-c2-2014-HoulsbyHG #learning #matrix #robust
- Cold-start Active Learning with Robust Ordinal Matrix Factorization (NH, JMHL, ZG), pp. 766–774.
- ICML-c2-2013-Lopez-PazHG #dependence #multi #process
- Gaussian Process Vine Copulas for Multivariate Dependence (DLP, JMHL, ZG), pp. 10–18.
- ICML-c3-2013-WuHG #modelling #multi
- Dynamic Covariance Models for Multivariate Financial Time Series (YW, JMHL, ZG), pp. 558–566.