Birs- 24w2021: Combinatorial Optimization for Online Platforms

  1. Title:
    Improving greedy algorithms for assortment optimization problems with machine learning

    Speaker:

    Link:

  2. Title:
    Joint Assortment and Price Optimization under the Mixture of Boundary Logit model

    Speaker:

    Link:

  3. Title:
    Assortment Optimization Under the Multivariate MNL Model

    Speaker:

    Link:

  4. Title:
    Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions

    Speaker:

    Link:

  5. Title:
    Bulk versus Sequential Product Returns: Algorithms and Insights for Assortment Planning

    Speaker:

    Link:

  6. Title:
    Two-sided assortment optimization: Adaptivity gaps and approximation algorithms

    Speaker:

    Link:

  7. Title:
    MNL-Prophet: Sequential Assortment Selection Under Uncertainty

    Speaker:

    Link:

  8. Title:
    Designing Service Menus for Bipartite Queueing Systems

    Speaker:

    Link:

  9. Title:
    A simple way towards Fair Assortment Planning: Algorithms and Welfare Implications

    Speaker:

    Link:

  10. Title:
    The Joint Replenishment Problem with Outliers, and with Fairness Constraints

    Speaker:

    Link:

  11. Title:
    Robust Dynamic Staffing with Predictions

    Speaker:

    Link:

  12. Title:
    Online Contention Resolution Schemes for Network Revenue Management and Combinatorial Auctions

    Speaker:

    Link:

  13. Title:
    Advancements in Dynamic Matching: Adaptive Algorithms and Approximation Schemes

    Speaker:

    Link:

  14. Title:
    Greedy Algorithm for Multiway Matching with Bounded Regret

    Speaker:

    Link:

  15. Title:
    Policy Optimization for Personalized Interventions in Behavioral Health

    Speaker:

    Link: