Operations Research and Financial Engineering
Items (Sorted by Submit Date in Descending order): 1 to 20 of 106
| Issue Date | Title | Author(s) |
| 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 |
| 2022 | Decision-Making with Non-Markovian Rewards: Multi-Agent Learning and Applications to Medical Diagnostics | Yu, Zheng |
| 2022 | High-Dimensional Statistics under Covariance Eigenvalue Decay | Silin, Igor |
| 2022 | Statistical Machine Learning Meets Social Science | Tang, Francesca |
| 2022 | Computationally and Statistically-efficient Methods in Data Science | Guo, Yongyi |
| 2022 | Mean Field Models with Heterogeneous Agents: Extensions and Learning | Dayanıklı, Gökçe |
| 2022 | Topics in the Statistical and Computational Complexities of Modern Machine Learning | Yang, Zhuoran |
| 2022 | Policy Evaluation in Batch Reinforcement Learning | Duan, Yaqi |
| 2022 | Tensor Methods for Network Analysis | Gitelman, Daniel |
Items (Sorted by Submit Date in Descending order): 1 to 20 of 106