NIPS 2011 Workshop on
Copulas in Machine Learning

December 16th, 2011, Sierra Nevada, Spain
Hotel Melia Sierra Nevada, Genil room

Overview Schedule Abstract, slides, papers Submissions


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