Birs- 15w5080: New Perspectives for Relational Learning

  1. Title:
    Relational Representations

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  2. Title:
    A unified view of generative models for networks: models, methods, opportunities, and challenges

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  3. Title:
    Community structure analysis in social networks with relational latent feature models

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  4. Title:
    Latent Variable Modeling and Statistical Relational Learning: The Missing Links

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  5. Title:
    Lifted Inference in Probabilistic Databases -- An Overview

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  6. Title:
    Unifying MAX SAT, Local Consistency Relaxations, and Soft Logic with Hinge-Loss Markov Random Fields

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  7. Title:
    Probabilistic logic programming for robotics

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  8. Title:
    Probabilistic modeling of cyclic relations and its application to plan recognition

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  9. Title:
    Relational Stochastic Programming: Frontiers for Planning and Learning

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  10. Title:
    Approximate Symmetries in Lifted Inference

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  11. Title:
    Applications of Machine Learning in Mammography

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  12. Title:
    Social Trust Models

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  13. Title:
    Lifted Generative Learning of Markov Logic Networks

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  14. Title:
    Paired-Dual Learning for Circumventing the Inference Bottleneck

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  15. Title:
    Efficient Online Collective Inference for Graphical Models

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  16. Title:
    Learning Guarantees for Relational Models in the “One Example” Setting

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