| Variational Autoencoders for Collaborative Filtering | Feb 16, 2018 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 1 |
| Finite-dimensional Gaussian approximation with linear inequality constraints | Oct 20, 2017 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| Stable Architectures for Deep Neural Networks | May 9, 2017 | Deep Learningparameter estimation | CodeCode Available | 1 |
| Convolutional neural network architecture for geometric matching | Mar 16, 2017 | Geometric Matchingparameter estimation | CodeCode Available | 1 |
| Learning Latent Vector Spaces for Product Search | Aug 25, 2016 | Learning-To-Rankparameter estimation | CodeCode Available | 1 |
| End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture | Aug 14, 2015 | General Classificationparameter estimation | CodeCode Available | 1 |
| SAME but Different: Fast and High-Quality Gibbs Parameter Estimation | Sep 18, 2014 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 |
| Probabilistic Inductive Logic Programming Based on Answer Set Programming | May 4, 2014 | Inductive logic programmingparameter estimation | CodeCode Available | 1 |
| Minimum Probability Flow Learning | Jun 25, 2009 | parameter estimation | CodeCode Available | 1 |
| Latent Dirichlet Allocation | Jan 1, 2003 | Collaborative Filteringparameter estimation | CodeCode Available | 1 |
