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Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 127 + 128
Constructive Machine Learning
Fabrizio Costa · Thomas Gärtner · Andrea Passerini · Francois Pachet

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In many real-world applications, machine learning algorithms are employed as a tool in a ''constructive process''. These processes are similar to the general knowledge-discovery process but have a more specific goal: the construction of one-or-more domain elements with particular properties. In this workshop we want to bring together domain experts employing machine learning tools in constructive processes and machine learners investigating novel approaches or theories concerning constructive processes as a whole. Interesting applications include but are not limited to: image synthesis, drug and protein design, computational cooking, generation of art (paintings, music, poetry). Interesting approaches include but are not limited to: deep generative learning, active approaches to structured output learning, transfer or multi-task learning of generative models, active search or online optimization over relational domains, and learning with constraints.

Many of the applications of constructive machine learning, including the ones mentioned above, are primarily considered in their respective application domain research area but are hardly present at machine learning conferences. By bringing together domain experts and machine learners working on constructive ML, we hope to bridge this gap between the communities.

Introduction (Talk)
Fabrizio Costa, Andrea Passerini, Thomas Gärtner, Francois Pachet
Artificially-intelligent drug design (Invited Talk)
Gisbert Schneider
Chef Watson: Computational Creativity Applied To Recipes (Invited Talk)
Florian Pinel
Efficient optimization for probably submodular constraints in CRFs (Talk)
Maxim Berman
A constructive approach for graph concepts with long range dependencies (Talk)
Stefan Mautner, Fabrizio Costa
Constructive Layout Synthesis via Coactive Learning (Talk)
Paolo Dragone, Andrea Passerini
Multiplicative and Fine-grained Gating for Reading Comprehension (Invited Talk)
Russ Salakhutdinov
Magenta (Invited Talk)
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks (Spotlight)
Memo Akten
A Machine Learning Approach to Support Music Creation by Musically Untrained People (Spotlight)
Tetsuro Kitahara
Modelling human appreciation of machine generated What-if ideas (Spotlight)
Martin Žnidaršič, Janez Kranjc
Chord2Vec: Learning Musical Chord Embeddings (Spotlight)
Christian Walder
Narrated Reality (Invited Talk)
Ross E Goodwin
Computational Creativity (Invited Talk)
Simon Colton
Fast Patch-based Style Transfer of Arbitrary Style (Talk)
T. Q. (Ricky) Chen, Mark Schmidt
Out-of-class novelty generation: an experimental foundation (Talk)
Balázs Kégl
Structured Prediction with Logged Bandit Feedback (Invited Talk)
Thorsten Joachims
Automatic Chemical Design using Variational Autoencoders (Talk)
José Miguel Hernández-Lobato
C-RNN-GAN: Generative adversarial training of sequence models with continuous data (Spotlight)
Olof Mogren
Optimal Teaching for Online Perceptrons (Spotlight)
Xuezhou Zhang, Jerry Zhu
Generating Class-conditional Images with Gradient-based Inference (Spotlight)
David Duvenaud
Poster Session
Panel Discussion
Gisbert Schneider, Ross E Goodwin, Simon Colton, Russ Salakhutdinov, Thorsten Joachims, Florian Pinel