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Collaborations and top research areas from the last five years
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SPIR Internship Agreement for Juan Perez Osorio: Course Preparation for Financial Engineering Nearest Neighbors (FENN)
Uryasev, S. (PI), Polak, P. (CoPI) & Yu, Y. (CoI)
01/29/26 → 06/3/26
Project: Research
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SPIR Internship Agreement Zilin Chen: Barret Shao- Application of Machine Learning Techniques in High-Dimensional Financial Analysis Project
Polak, P. (PI), Uryasev, S. (CoPI) & Yu, Y. (CoI)
08/25/25 → 05/15/26
Project: Research
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SPIR Internship for Mathew Thiel: validityBase Robust Signal Construction for Financial Markets
Uryasev, S. (PI) & Polak, P. (CoPI)
05/26/25 → 05/15/26
Project: Research
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SPIR Internship for Zhishu Zhang & Ruolan Sun: Machine Learning Techniques for Optimal Portfolio Construction
Polak, P. (PI) & Uryasev, S. (CoPI)
05/26/25 → 05/15/26
Project: Research
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SPIR Internship for Zilin Chen: Application of Statistical Analysis on Prediction Model
Uryasev, S. (PI) & Polak, P. (CoPI)
XBTO Trading Limited Liability Corporation
07/8/24 → 06/3/26
Project: Research
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Biliverdin reductase B as a new target in breast cancer
Marchenko, N., Nesbitt, N. M., Alexandrova, E., Reisz, J. A., D’Alessandro, A., Suh, J., Uryasev, S., Pennacchia, L. & Bahou, W. F., Dec 2025, In: Breast Cancer Research. 27, 1, 179.Research output: Contribution to journal › Article › peer-review
Open Access -
Error control and Neyman–Pearson classification with buffered probability and support vectors
Norton, M., Chiang, L. & Uryasev, S., Dec 2025, In: Computational Optimization and Applications. 92, 3, p. 951-985 35 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Nonparametric Distributional Regression via Quantile Regression
Peng, C. & Uryasev, S., 2025, In: Proceedings of Machine Learning Research. 258, p. 4852-4860 9 p.Research output: Contribution to journal › Conference article › peer-review
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Buffered and Reduced Multidimensional Distribution Functions and Their Application in Optimization
Grechuk, B., Zabarankin, M., Mafusalov, A. & Uryasev, S., Mar 2024, In: Optimization Letters. 18, 2, p. 403-426 24 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Efficient and robust optimal design for quantile regression based on linear programming
Peng, C., Kouri, D. P. & Uryasev, S., Apr 2024, In: Computational Statistics and Data Analysis. 192, 107892.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations