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Deep Learning and Combinatorial Optimization 2021 " Can my machine learning method actually learn what I want it to learn?” asks ProfessorStefanie Graph Neural Networks (GNNs) have become a popular tool for learning certain algorithmic Abstract: Submodular functions capture a wide spectrum of discrete problems in machine learning, signal processing and ... Some Benefits of Machine Learning with Invariances NIPS 2016 Workshop on Nonconvex Optimization:
Workshop on Theory of Deep Learning: Where next? Topic: Representational Power of Graph Neural Networks Speaker:
