Fields- Workshop on Recent Advances in Optimization

  1. Title:
    Solving the Nearest Correlation Matrix Problem with an Inexact Accelerated Proximal Gradient Method

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  2. Title:
    Can an infeasible MIP solve itself?

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  3. Title:
    Incorporating Dantzig-Wolfe Decomposition Into Branch-and-Cut by Cutting Planes

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  4. Title:
    Leveraging Decision Diagrams to Solve Two-stage Stochastic Programs with Binary Recourse and Logical Linking Constraints

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  5. Title:
    On the singularity degree of non facially exposed faces

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  6. Title:
    Facial Reduction for the SDP Relaxation of the Maximum k -Cluster Problem

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  7. Title:
    Some Machine Learning Techniques in OptVerse Solver

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  8. Title:
    P-split formulations: a class of adjustable formulations between big-M and convex hull for disjunctive constraints

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  9. Title:
    Two-stage and Lagrangian Dual Decision Rules for Multistage Adaptive Robust Optimization

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  10. Title:
    2x2-convexifications for convex quadratic optimization with indicator variables

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  11. Title:
    Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint

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  12. Title:
    Random Projections for Quadratically Constrained Quadratic Programs

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  13. Title:
    Leveraging Combinatorial Symmetries in Flag Algebra-based SDP Formulations

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  14. Title:
    The warehouse problem with fixed costs and complementarity constraints

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  15. Title:
    Screening for Sparse Logistics Regression

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  16. Title:
    Integer programming methods for causal structure learning

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  17. Title:
    Neur2SP: Neural Two-Stage Stochastic Programming

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  18. Title:
    Stochastic Multi-level Nested Composition Optimization

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  19. Title:
    Revisiting von Neumann’s alternating projections

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