FENG Yunlong 冯云龙 Ph.D. Assistant Professor [CV] Machine Learning [email protected] Department of Mathematics and Statistics State University of New York at Albany Albany, NY 12222, USA Office: Earth Science Building 128D Email: ylfeng at albany.edu Phone: +1 518 4424611

Research Interests

Machine Learning, Statistical Learning Theory

Instructed Courses

• AMAT363 Statistics, Spring 2020, Fall 2020, Spring 2021
• AMAT810 Time Series Analysis, Fall 2018
• AMAT591 Optimization Methods and Nonlinear Programming, Spring 2018-2020, Fall 2020, Spring 2021
• AMAT465/565 Applied Statistics, Fall 2019
• AMAT214 Calculus of Several Variables, Fall 2018, Spring 2019
• AMAT112 Calculus I, Fall 2019
• AMAT108 Elementary Statistics, Spring 2018
• AMAT101 Algebra and Calculus I, Fall 2017

Recent Papers

1. Y. Feng and Q. Wu. Tikhonov regularization for Gaussian empirical gain maximization in RKHS is consistent. Submitted, 2021.
2. Y. Feng and Q. Wu. A statistical learning assessment of Huber regression. arXiv preprint arXiv:2009.12755, 2020.
3. Y. Feng and Q. Wu. A framework of learning through empirical gain maximization. Neural Computation, in press.
4. Y. Feng. New insights into learning with correntropy based regression. Neural Computation, 33(1):157-173, 2021.
5. Y. Feng and Q. Wu. Learning under (1+ε)-moment conditions. Applied and Computational Harmonic Analysis, 49(2): 495-520, 2020.
6. Y. Feng, J. Fan, and J. Suykens. A statistical learning approach to modal regression. Journal of Machine Learning Research, 21(2):1-35, 2020.
7. Y. Feng and Y. Ying. Learning with correntropy-induced losses for regression with mixture of symmetric stable noise. Applied and Computational Harmonic Analysis, 48(2):795-810, 2020.

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