Fields- Workshop on Big Data and Statistical Machine Learning

  1. Title:
    Welcome

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  2. Title:
    Exploring alternatives to Boltzmann machine

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  3. Title:
    Learning to explore

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  4. Title:
    Structure massive data by graph connection Laplacian and its application

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  5. Title:
    Scaling up natural gradient by factorizing Fisher information

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  6. Title:
    The infinite genome project: Using statistical induction to understand the genome and improve human health

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  7. Title:
    Mondrian Forests: Efficient Online Random Forests

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  9. Title:
    The Battle Against the Long Tail

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  10. Title:
    Learning Rich But Fair Representations

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  11. Title:
    Profile Predictive Inference

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  12. Title:
    Oracle Variational Inference

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  13. Title:
    Raising the Reliability of Estimates of Generative Performance of MRFs

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  14. Title:
    Practical kernel-based reinforcement learning

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  15. Title:
    Thoughts on Interpretable Machine Learning

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  16. Title:
    Learning to Randomize and Remember in Partially-Observed Environments

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  17. Title:
    Deep Learning meets Structured Prediction

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