(Major) Convex optimization theory and algorithms with specific interests in: (Minor) Some practical and real-world application areas I've been working in are:

  • Çaglar Çaglayan, Yunan Liu, Turgay Ayer, et al. Physician staffing in emergency rooms (ERs): Opening the black-box of ER care via a multi-class multi-stage network. (Under revision at Management Science).

  • Renato D.C. Monteiro, Jacob M. Aguirre, Anton J. Kleywegt. A perspective on Frank-Wolfe decompositions for low rank matrix decompositions. (Work in progress, Aug. 23).
  • Anton J. Kleywegt, Jacob M. Aguirre, Renato D.C. Monteiro. On Joint Assortment and Pricing Optimization under Mixtures of Multinomial logits: Hardness and approximations. (Work in progress, Aug. 23).

  • Xinchao Liu, Jacob Aguirre, Xiao Liu. Optimal Compressed Sensing Dynamic Mode Decomposition for In-Situ Large-scale Dataset (Under revision)*.

  • Jacob Aguirre, Shrey Patel, Ruirui Ma. A Review of High Dimensional Nonlinear Dimension Reduction Methods Paper here