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  Causal inference for observational studies Authors: David Sontag and Uri Shalit (New York University)
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  Memory Networks for Language Understanding Authors: Jason Weston (Facebook)
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  Recent Advances in Non-Convex Optimization Authors: Anima Anandkumar (University of California Irvine)
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  Deep Residual Networks: Deep Learning Gets Way Deeper Authors: Kaiming He, Facebook
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  Stochastic Gradient Authors:
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  Deep Reinforcement Learning Authors: David Silver (Google DeepMind)
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  The convex optimization, game-theoretic approach to learning Authors: Elad Hazan (Princeton University) and Satyen Kale (Yahoo Research)
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  Rigorous Data Dredging: Theory and Tools for Adaptive Data Analysis Authors: Moritz Hardt (Google) and Aaron Roth (University of Pennsylvania)
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  Graph Sketching, Streaming, and Space-Efficient Optimization Authors: Sudipto Guha (University of Pennsylvania) and Andrew McGregor (University of Massachusetts Amherst)
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