Operations Research and Financial Engineering
Items (Sorted by Submit Date in Descending order): 1 to 20 of 70
| Issue Date | Title | Author(s) |
| 2020 | Semidefinite Representations in Semialgebraic Optimization and Dynamics-Oriented Learning | El Khadir, Bachir |
| 2020 | Complexity Aspects of Fundamental Questions in Polynomial Optimization | Zhang, Jeffrey |
| 2020 | Optimal Decision Making via Stochastic Modeling and Machine Learning: Applications to Resource Allocation Problems and Sequential Decision Problems | Ekwedike, Emmanuel |
| 2020 | Games on Portfolio Optimization and Bitcoin Mining | Li, Zongxi |
| 2020 | On the Geometric Structure of Problems in Statistics and Optimization | Pumir, Thomas |
| 2020 | An Efficient Row Reduction Algorithm for Solving Fourier-Constrained Linear Programs Using the Simplex Method | Joseph, Joane |
| 2020 | A New Generation of Risk Management System for Global FinTech Enterprises | Li, Nongchao |
| 2020 | The Alexandrov-Fenchel Inequality and its Extremal Structures | Shenfeld, Yair |
| 2020 | Sparse Estimation for High-Dimensional Statistical Problems | Gong, Wenyan |
| 2020 | Semigroups for One-Dimensional Schrödinger Operators with Multiplicative Gaussian Noise | Gaudreau Lamarre, Pierre Yves |
| 2020 | Statistics Meets Nonconvex Optimization: Computational Efficiency and Uncertainty Quantification | Ma, Cong |
| 2020 | Latent Variable Models: Spectral Methods and Non-convex Optimization | Wang, Kaizheng |
| 2019 | A Regime-Aware Agent-Based Framework for Financial Planning | Hao, Han |
| 2019 | Integrable models, Coulomb interactions, and mean field game theory | Cerenzia, Mark Joseph |
| 2019 | Spectral methods and MLE: a modern statistical perspective | Zhong, Yiqiao |
| 2019 | Lookahead Approximations for Online Learning with Nonlinear Parametric Belief Models | Han, Weidong |
| 2019 | High-Dimensional Optimization Problems in Decision-Making and Discrete Geometry | Naghib, Elahesadat |
| 2019 | Modern Optimization for Statistics and Learning | Eisenach, Carson |
| 2019 | Finite State Mean Field Games | Wang, Peiqi |
| 2019 | Statistical Optimization for High Dimensional Machine Learning with Privacy and Sparsity Constraints | Ge, Jason |
Items (Sorted by Submit Date in Descending order): 1 to 20 of 70