icml/icml2018.json

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        "title": "$D^2$: Decentralized Training over Decentralized Data",
        "author": "Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu",
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        "title": "A Robust Approach to Sequential Information Theoretic Planning",
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        "title": "A Spline Theory of Deep Learning",
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        "title": "Accelerating Greedy Coordinate Descent Methods",
        "author": "Haihao Lu, Robert Freund, Vahab Mirrokni",
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        "title": "Accelerating Natural Gradient with Higher-Order Invariance",
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        "title": "Accurate Inference for Adaptive Linear Models",
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        "title": "Accurate Uncertainties for Deep Learning Using Calibrated Regression",
        "author": "Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon",
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        "author": "Songbai Yan, Kamalika Chaudhuri, Tara Javidi",
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        "title": "Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits",
        "author": "Huasen Wu, Xueying Guo, Xin Liu",
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        "title": "Adaptive Sampled Softmax with Kernel Based Sampling",
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        "title": "Adaptive Three Operator Splitting",
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        "author": "Jonathan Uesato, Brendan O'Donoghue, Pushmeet Kohli, A\u00e4ron van den Oord",
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        "title": "An Alternative View: When Does SGD Escape Local Minima?",
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        "author": "Agniva Chowdhury, Jiasen Yang, Petros Drineas",
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