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Randomized greedy search for structured prediction: amortized inference and learning

In a structured prediction problem, we need to learn a predictor that can produce a structured output given a structured input (eg, part-of-speech tagging). The key learning and inference challenge is due to the exponential size of the structured …

Taming extreme heterogeneity via machine learning based design of autonomous manycore systems

To avoid rewriting software code for new computer architectures and to take advantage of the extreme heterogeneous processing, communication and storage technologies, there is an urgent need for determining the right amount and type of specialization …