Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression, Pedram Daee, Tomi Peltola, Marta Soare and Samuel Kaski

Socratic Learning, Paroma Varma, Rose Yu, Dan Iter, Chris De Sa and Christopher Re

Probabilistic Active Learning for Active Class Selection, Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou and Bernhard Sick

Regression Analysis in Small-n-Large-p Using Interactive Prior Elicitation of Pairwise Similarities, Homayun Afrabandpey, Tomi Peltola and Samuel Kaski

Scalable batch mode Optimal Experimental Design for Deep Networks, Mélanie Ducoffe, Geoffrey Portelli and Frederic Precioso

Interactive Preference Learning of Utility Functions for Multi-Objective Optimization, Ian Dewancker, Michael Mccourt and Samuel Ainsworth

Improving Online Learning of Visual Categories by Deep Features, Lydia Fischer, Stephan Hasler, Sebastian Schrom and Heiko Wersing

Interactive user intent modeling for eliciting priors of a normal linear model, Iiris Sundin, Luana Micallef, Pekka Marttinen, Muhammad Ammad-Ud-Din, Tomi Peltola, Marta Soare, Giulio Jacucci and Samuel Kaski

Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning, Heriberto Cuayahuitl, Guillaume Couly and Clement Olalainty