Birs- 19w5231: Models and Algorithms for Sequential Decision Problems under Uncertainty

  1. Title:
    Crowdsourcing Operations: Incentivizing Bike Angels in America

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  2. Title:
    Data-driven Inverse Optimization with Imperfect Information

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  3. Title:
    Data-driven Inverse Optimization with Imperfect Information

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  4. Title:
    Online First-Order Framework for Robust Convex Optimization

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  5. Title:
    Analyzing Policies in Dynamic Robust Optimization

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  6. Title:
    Data-Driven Chance Constrained Programs over Wasserstein Balls

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  7. Title:
    Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

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  8. Title:
    Exploiting Partial Correlations in Distributionally Robust Optimization

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  9. Title:
    On the Optimality of Affine Policies for Budgeted Uncertainty Sets

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  10. Title:
    Preliminary results on two-stage scenario problems

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  11. Title:
    Resource Allocation Problems in Cloud Computing

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  12. Title:
    Online Resource Allocation under Partially Predictable Demand

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  13. Title:
    Effective Scenarios in Multistage Distributionally Robust Optimization

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  14. Title:
    Secondary Market to Mitigate Demand Uncertainty

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  15. Title:
    A Data-Driven Approach for Multi-Stage Linear Optimization

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  16. Title:
    Data-Driven Two-Stage Linear Optimization: Feasibility and Approximation Guarantees

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  17. Title:
    Data-Pooling in Stochastic Optimization

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  18. Title:
    Worst-case regret minimization in a two-stage linear program

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  19. Title:
    Two-Stage Robust Optimization with Decision-Dependent Information Discovery

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  20. Title:
    Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint

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