Neural Information Processing series - Böcker

Large-Scale Kernel Machines

Practical Applications of Sparse Modeling

Advanced Structured Prediction

Log-Linear Models, Extensions, and Applications

Learning Machine Translation

Advances in Large-Margin Classifiers

Nearest-Neighbor Methods in Learning and Vision

Theory and Practice

Probabilistic Models of the Brain

Perception and Neural Function

Predicting Structured Data

Optimization for Machine Learning

Introduction to Lifted Probabilistic Inference

Dataset Shift in Machine Learning

Perturbations, Optimization, and Statistics