Fields- Workshop on Modern Convex Optimization and Applications: AN70

  1. Title:
    On max- k -sums

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  2. Title:
    Noisy Black Box Optimization: Algorithms and Effort Analysis

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  3. Title:
    Semidefinite approximations of the matrix logarithm

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  4. Title:
    Some bridges from self-concordance to applications in convex optimization

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  5. Title:
    Avoiding Critical Multipliers and Slow Convergence of Primal-Dual Algorithms

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  6. Title:
    High-Dimensional Learning with Concave Penalty

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  7. Title:
    Iteration-complexity of a Jacobi-type non-Euclidean ADMM for multi-block linearly constrained non-convex programs

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  8. Title:
    Bad semidefinite programs: now with short proofs

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  9. Title:
    Decomposition of Matrix Inequalities with Application in Topology Optimization of Mechanical Structures

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  10. Title:
    Algebraic Certificates of Disconnectedness

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

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  12. Title:
    Stochastic reformulations of linear systems: algorithms and convergence theory

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  13. Title:
    Robust and sparse optimization and energy applications

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  14. Title:
    Variance reduction under restricted strong convexity

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  15. Title:
    Linear and Conic Programming Reformulations of Two-Stage Robust Linear Programs

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  16. Title:
    From Data to Decisions: Distributionally Robust Optimization is Optimal

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  17. Title:
    Minimum rank positive semidefinite completion with chordal sparsity

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  18. Title:
    ALAMO: Machine learning from data and first principles

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  19. Title:
    On Stochastic Optimization with Conditional Expectation

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  20. Title:
    Solving Standard Quadratic Programming By Cutting Planes

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