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Principled Approaches to Deep Learning | ICML 2017 Principled Approaches to Deep Learning ICML 2017, Sydney, Australia August 10, 2017 Abstract Speakers Dates Program Contributed Papers PC Organizers Sponsor Abstract The recent advancements in deep learning have revolutionized the field of machine learning, enabling unparalleled performance and many new real-world applications. Yet, the developments that led to this success have often been driven by empirical studies, and little is known about the theory behind some of the most successful approaches. While theoretically well-founded deep learning architectures had been proposed in the past, they came at a price of increased complexity and reduced tractability. Recently, we have witnessed considerable interest in principled deep learning. This led to a better theoretical understanding of existing architectures as well as development of more mature deep models with solid theoretical foundations. In this workshop, ...
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