Program for stream Sparsity guarantee and cardinality-constrained (MI)NLPs

MB-13: True sparsity in Standard Quadratic Problems
Stream: Sparsity guarantee and cardinality-constrained (MI)NLPs
Room: B100/6009
Chair(s): Immanuel Bomze

• Novel and Tractable Convex Relaxations of Standard Quadratic Optimization Problems under Cardinality Constraints
  E. Alper Yildirim, Immanuel Bomze, Bo Peng, Yuzhou Qiu
• From Keynes to Markowitz and back — optimize portfolios by strict cardinality control
  Immanuel Bomze, Paula Amaral, Yuan Chen, Bo Peng
• Cardinality-Constrained Optimization for Large-Scale Portfolio
  Yuan Chen, Immanuel Bomze, Nikolaus Hautsch, Bo Peng

MC-13: Cardinality control in optimization problems for Data Science
Stream: Sparsity guarantee and cardinality-constrained (MI)NLPs
Room: B100/6009
Chair(s): E. Alper Yildirim

• An Efficient Network-aware Direct Search Method for Influence Maximization
  Matteo Bergamaschi, Francesco Rinaldi, Francesco Tudisco, Sara Venturini
• Strict cardinality control in feature selection for linear Support Vectors: a scalable conic decomposition approach
  Laura Palagi, Immanuel Bomze, Federico D’Onofrio, Bo Peng
• Exact sparsity control for multiclass linear Support Vector Machines
  Pedro Duarte Silva, Immanuel Bomze, Laura Palagi, Bo Peng, Marta Monaci, Federico D'Onofrio

MD-13: Recent advances in optimization problems with cardinality constraints
Stream: Sparsity guarantee and cardinality-constrained (MI)NLPs
Room: B100/6009
Chair(s): Laura Palagi

• Critical Point Theory for Sparse Huber Recovery
  Deniz Akkaya, Mustafa Pinar
• Combinatorial, conic and linear bounds for expansions in a graph
  Akshay Gupte
• Margin Optimal Regression Trees
  Ilaria Ciocci, Marta Monaci, Laura Palagi