Birs- 17w5159: Beyond Convexity: Emerging Challenges in Data Science

  1. Title:
    Optimization challenges from robust statistics

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  2. Title:
    Nonconvex optimization in deep learning

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  3. Title:
    Sketchy Decisions

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  4. Title:
    Maximum Likelihood Estimation under Total Positivity

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  5. Title:
    First Order Methods Beyond Smoothness and Convexity

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  6. Title:
    Learning Developmental Landscapes from Single Cell Gene Expression with Optimal Transport

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  7. Title:
    Variable selection and prediction with presence-only data

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  8. Title:
    'New Sh*t Has Come To Light': Perspectives on Integer Programming for Sparse Optimization

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  9. Title:
    A Framework for Globally Convergent Methods in Nonsmooth and Nonconvex Optimization

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  10. Title:
    Dissipativity Theory for Algorithm Analysis

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  11. Title:
    Matrix Estimation via Collaborative Filtering

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  12. Title:
    Complexity analysis of second-order algorithms based on line search for smooth nonconvex optimization

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  13. Title:
    Worst-Case Complexity Guarantees and Nonconvex Smooth Optimization

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  14. Title:
    A Gentle, Geometric Introduction to Copositive Optimization

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  15. Title:
    Convex (?) Co-Clustering of Tensors

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  16. Title:
    Matrix Completion with Non-Linear Models

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