Portfolio construction by mitigating error amplification: The bounded-noise portfolio L Zhao, D Chakrabarti, K Muthuraman Operations Research 67 (4), 965-983, 2019 | 17 | 2019 |
Tractable robust supervised learning models M Sim, L Zhao, M Zhou SSRN, 2021 | 8 | 2021 |
Robust actionable prescriptive analytics L Chen, M Sim, X Zhang, L Zhao, M Zhou Available at SSRN 4106222, 2022 | 4 | 2022 |
Unified classical and robust optimization for least squares L Zhao, D Chakrabarti, K Muthuraman Available at SSRN 3182422, 2022 | 3 | 2022 |
A New Perspective on Supervised Learning via Robust Satisficing M Sim, L Zhao, M Zhou Available at SSRN 3981205, 2021 | 3 | 2021 |
Reappraise the Maximum-Sharpe Portfolio L Zhao Available at SSRN 3497169, 2019 | 2 | 2019 |
Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene W Nie, SV Kumar, A Getirana, L Zhao, ML Wrzesien, G Konapala, ... Proceedings of the National Academy of Sciences 121 (45), e2403707121, 2024 | 1 | 2024 |
Constructing Quantiles via Forecast Errors: Theory and Empirical Evidence Z Chen, L Zhao Available at SSRN 4371538, 2023 | 1 | 2023 |
An Efficient Dimension Reduction for Portfolio Optimization via the Most Robust Solution L Zhao, R Gao An Efficient Dimension Reduction for Portfolio Optimization via the Most …, 2022 | 1 | 2022 |
Leveraging Latent Factors Using the Equally Weighted Portfolio L Zhao, R Gao Available at SSRN 3991393, 2021 | | 2021 |
Essays on Data-Driven Optimization L Zhao The University of Texas at Austin, 2019 | | 2019 |