Papers

Data Streams

• Mondrian Forests: Efficient Online Random Forests
• Nonconvex online support vector machines
• Adaptive random forests for evolving data stream classification
• An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams
• Extreme learning machine for multilayer perceptron (only available in the Lernraum-Plus)

Web Advertizing

• Wide & Deep Learning for Recommender Systems - Raheel
• DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
• Collaborative deep learning for recommender systems
• Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
• Time-Aware Prospective Modeling of Users for Online Display Advertising

Predicting Links in Social Networks

• Gravity-inspired graph autoencoders for directed link prediction.
• Link prediction based on graph neural networks.
• GCN-GAN: A non-linear temporal link prediction model for weighted dynamic networks.