Technology
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
Akihiro Kishimoto, Beat Buesser, Bei Chen, Adi Botea
Search is a core AI technique, especially in games [5, 27, 31] and domain-independent planning [3,12].
Safe Exploration for Interactive Machine Learning
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Neural Information Processing Systems http://nips.cc/
Unsupervised Adversarial Invariance
Ayush Jaiswal, Rex Yue Wu, Wael Abd-Almageed, Prem Natarajan
Data representations that contain all the information about target variables but are invariant to nuisance factors benefit supervised learning algorithms by preventing them from learning associations between these factors and the targets, thus reducing overfitting.
TowardsBetterEvaluationfor DynamicLinkPrediction
Despite the prevalence ofrecent success inlearning from static graphs, learning from time-evolving graphs remains an open challenge.
