DAVID SWEET
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Teaching
- Developed and taught Special topics in DAV: Experimental optimization
Course for the DAV masters program at Yeshiva University, Spring 2022
- Experimental Optimization
Guest lecture for Data Driven Organizations, Prof. Andrew Catlin, Yeshiva University, October 2021
- Developed and taught Predictive models, a course in the AI masters program at Yeshiva University, Summer 2021
- Optimization of High-Frequency Trading Systems
Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, April 2019
- Optimization of High-Frequency Trading Systems
Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, April 2018
- Optimization of High-Frequency Trading Systems
Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, April 2017
- High Frequency Trading
Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, January & April 2014
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Books
- D. Sweet, Experimentation for engineers: From A/B testing to Bayesian optimization (Manning Publications, 2023)
- D. Sweet, et. al., KDE 2.0 Programming (MacMillan Publishing, 2000).
[pdf]
- Contributing author, Chs. 34-38, N. Wells, Special Edition: Using KDE (MacMillan Publishing, 2000).
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Papers
- D. Sweet, E. Ott, and J. A. Yorke, Topology in chaotic scattering, Nature 399, 315 (1999).
- D. Sweet, H. E. Nusse, J. A. Yorke, Stagger-and-Step Method: Detecting and Computing Chaotic Saddles in Higher Dimensions, Physical Review Letters 86, 2261 (2001).
- More ...
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Podcasts & Presentations
@phinance99
linkedin/dsweet99