Operations Research and Financial Engineering
Items (Sorted by Submit Date in Descending order): 1 to 20 of 114
| Issue Date | Title | Author(s) |
| 2025 | Limited Feedback Models in Online Control | Sun, Yuxi |
| 2025 | Decision under intensity-based costs in large-scale systems | Zeng, Claire Shuyin |
| 2025 | Transfer Learning and Optimization Theory for Large-Scale Models | Gao, Cheng |
| 2024 | Learning to Accelerate Optimization Algorithms with Guarantees | Sambharya, Rajiv |
| 2024 | Algebraic Methods in Convex Geometry, Nonlinear Optimization, and Learning Dynamical Systems | Chaudhry, Abraar |
| 2024 | Estimation and Inference in Modern Nonparametric Statistics | Underwood, William George |
| 2024 | Adaptive Nonparametric Statistical Theory and Implementation | Chandak, Rajita Ramesh |
| 2024 | Free Boundaries, Functional Expansions, and Occupied Processes | Tissot-Daguette, Valentin Lou |
| 2024 | Utility Maximization in a Market with Competitive Heterogeneous Agents: backward propagation of chaos and learning | Zhou, Xuchen |
| 2023 | Entropic stochastic search for expensive, unimodal functions and its application to stochastic gradient algorithms and the optimization of parameterized policies for supply chain planning | Luo, Xiaohe |
| 2023 | From Learning to Optimal Learning: Understanding the impact of overparameterization on features of neural networks to optimal learning of expensive, noisy functions using low-dimensional belief models | Duzgun, Ahmet Cagri |
| 2023 | Statistical Learning and Optimal Decision Making under Uncertainty | Yan, Yuling |
| 2023 | Collective Good and Optimization in Socioeconomic Systems | Rigobon, Daniel Eduardo |
| 2023 | Essays on Applications of Networks and Discrete Optimization | Lin, Mingqian |
| 2023 | Algorithmic and architectural implicit biases in deep learning | Jelassi, Samy |
| 2023 | High-dimensional Robust Statistical Inference | Yu, Mengxin |
| 2023 | Survival Analysis in Distributed and High-Dimensional Environments and Theory of Cross-Validation | Bayle, Pierre |
| 2023 | ESSAYS ON ADVANCED METHODS IN PORTFOLIO OPTIMIZATION | Aydinhan, Afsar Onat |
| 2023 | STATISTICAL GUARANTEES FOR ADAPTIVE RECURSIVE PARTITIONING BASED ESTIMATORS | Tian, Peter Mingru |
| 2020 | The Alexandrov-Fenchel Inequality and its Extremal Structures | Shenfeld, Yair |
Items (Sorted by Submit Date in Descending order): 1 to 20 of 114