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Dive into the research topics where Pawel Polak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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SPIR Internship Agreement for Ruolan Sun: Advanced Machine Learning for Portfolio Optimization
Polak, P. (PI) & Uryasev, S. (CoPI)
05/18/26 → 01/6/27
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 → 01/6/27
Project: Research
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SPIR: Online Learning & Adaptive Signal Processing for Financial Industry Applications
Polak, P. (PI), Mahajan, M. D. (CoPI) & Yu, Y. (CoI)
01/13/25 → 01/8/27
Project: Research
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SPIR Internship: Application of Statistical Analysis on Prediction Model
Uryasev, S. (PI) & Polak, P. (CoPI)
XBTO Trading Limited Liability Corporation
07/8/24 → 01/6/27
Project: Research
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SPIR Internship: Smart Betas, Smarter Alphas & Optimization in the Factor Zoo
Polak, P. (PI) & Uryasev, S. (CoPI)
QuantZ Machine Intelligence Technologies Limited Liability Company
10/19/23 → 01/6/27
Project: Research
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MuseDance: A Diffusion-based Music-Driven Image Animation System
Dong, Z., Hao, W., Wang, J. C., Zhang, P. & Polak, P., 2026, Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026. Institute of Electrical and Electronics Engineers Inc., p. 3813-3824 12 p. (Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Asymptotic normality of the Conditional Value-at-Risk based Pickands estimator
Li, Y. & Polak, P., Aug 2025, In: Statistics and Probability Letters. 223, 110411.Research output: Contribution to journal › Article › peer-review
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Digital Image Speckle Correlation (DISC): Facial Muscle Tracking for Neurological and Psychiatric Disorders
Fu, S., Polak, P., Fiore, S., Passman, J. N., Davis, R., Manu, L. M. & Rafailovich, M., Jul 2025, In: Diagnostics. 15, 13, 1574.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Learning to Trade with Preferences: Interpretable Execution via Mixture-of-Experts
Xu, H., Bohne, J., Polak, P., Byrd, D., Rosenberg, D. & Kazantsev, G., Nov 14 2025, ICAIF 2025 - 6th ACM International Conference on AI in Finance. Association for Computing Machinery, Inc, p. 762-770 9 p. (ICAIF 2025 - 6th ACM International Conference on AI in Finance).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework
Miao, J. & Polak, P., Nov 14 2025, ICAIF 2025 - 6th ACM International Conference on AI in Finance. Association for Computing Machinery, Inc, p. 440-448 9 p. (ICAIF 2025 - 6th ACM International Conference on AI in Finance).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review