The Representation Learning for Complex Data workshop aims at gathering researchers from the different fields interested in the development of representtion learning (RL), such as machine learning, information retrieval, natural language processing, computer vision, data mining. Its targets researchers from both industry and academia to join forces in this exciting area. It intends to discuss the recent and significant developments in RL and to promote cross-fertilization of techniques. This event is at the initiative of the Data Mining & Decision team of the ERIC Lab, Université de Lyon. Pierre Laforgue will be presenting a poster about the article accepted at AISTATS 2019: Autoencoding any Data through Kernel Autoencoders.