| Morning session (07:30-10:30) |
| 07:30 |
Opening remarks |
| 07:40 |
Keynote Tutorial: Christian Genest, McGill University
Everything You Always Wanted to Know About Copulas and Were Afraid to Ask |
| 09:10-09:30 |
Break |
| 09:30 |
Contributed Tutorial: Nicole Kraemer and Ulf Schepsmeier, TU Munchen
Introduction to Vine Models |
| 10:00 |
Gal Elidan, Hebrew University
High-dimensional Copula Constructions in Machine Learning: An Overview |
| Afternoon session (16:00-19:30) |
| 16:00 |
Invited Talk: Ricardo Silva, University College London
Exploiting Copula Parameterizations in Graphical Model Construction and Learning |
| 16:45 |
Melanie Rey, University of Basel
Copula Mixture Model for Dependency-seeking Clustering |
| 17:05 |
Poster Spotlights |
| 17:20 |
Poster Session
- New Classes of Copula Gaussian Graphical Models
Justin Dauwels, Hang Yu, Xueou Wang, Xu Zhang and Shiyan Xu
- Applications of Copulas in Neuroscience
Arno Onken, Steffen Grunewalder, Matthias Munk and Klaus Obermayer
- Modeling Cell Populations in High Content Screening using Copulas
Edouard Pauwels
- Transfer Learning with Copulas
David Lopez Paz and Jose Miguel Hernandez-Lobato
- Copula functions for learning multimodal densities with non-linear dependencies
Ashutosh Tewari, Madhusudana Shashanka, Michael Giering
- C-Vines
Nicole Kraemer and Ulf Schepsmeier
- Copulas for Context Sensitive Classification
Ashish Kapoor
|
| 18:00 |
Break |
| 18:20 |
Jose Miguel Hernandez-Lobato, University of Cambridge
Expectation Propagation for the Estimation of Conditional Bivariate Copulas |
| 18:40 |
Barnabas Poczos, CMU
Robust Nonparametric Copula Based Dependence Estimators
|
19:00 - 19:30 |
Open Discussion |
