Optimization Algorithms in Support Vector Machines
Poster Spotlights
Optimization in Machine Learning: Recent Developments and Current Challenges
Sparse modeling: some unifying theory and “topic-imaging”
Graphical Models
Primal Sparse Max-Margin Markov Networks
Convex Analysis and Optimization
Machine Learning in Computational Biology (the frequentist approach)
Lecture 16: Model Predictive Control
Modern Bayesian Nonparametrics: beyond Dirichlet and Gaussian processes