I am an applied scientist at Amazon, Seattle. Before joining Amazon, I obtained my PhD degree in Computer Science, from School of Informatics, Computing and Engineering, Indiana University Bloomington. My research interests lie in statistical machine learning, optimization and reinforcement learning. At school, I worked with Dr. Martha White, mainly on representation learning with regularized Dictionary Learning.
- 2013.8 - 2019.6, PhD in Computer Science,
School of Informatics, Computing and Engineering, Indiana University Bloomington, IN, USA.
- 2010.9 - 2013.3, Master of Management Science,
School of Economics and Management, Tongji University, Shanghai, China.
- 2006.9 - 2010.6, Bachelor of Management Science,
School of Business, East China Normal University, Shanghai, China.
- 2019.8 - present, Applied Scientist at Amazon, Seattle.
- 2018.9 - 2018.12, Intern at Google, New York City Office.
Research and Machine Intelligence Group. Mentor: Ariel Kleiner, Ph.D
- 2015.8 - 2019.5, Research Assistant.
Department of Computer Science, Indiana University Bloomington. Supervisor: Martha White, Ph.D
- 2013.9 - 2015.5, Associate Instructor.
Department of Computer Science, Indiana University Bloomington.
Lei Le, Ajin Joseph and Martha White. Characterizing optimality of full-rank
stationary points for matrix factorization objectives. (manuscript).
Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell,
Franco Pestilli, Cesar Caiafa, Russell Greiner and Martha White.
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. (Accepted by NeurIPS 2019).
Vincent Liu, Raksha Kumaraswam, Lei Le, and Martha White. The utility
of sparse representations for control in reinforcement learning. (Accepted by
Lei Le, Andrew Patterson, and Martha White. Supervised autoencoders: Improving generalization performance with unsupervised regularizers. Advances in Neural
Information Processing Systems(NeurIPS), pages 107-117, 2018. [PDF]
Lei Le and Martha White. Identifying global optimality for dictionary
Lei Le, Raksha Kumaraswamy, and Martha White. Learning
sparse representations in reinforcement learning with sparse coding.
In Proceedings of the Twenty-Sixth International Joint Conference
on Artificial Intelligence, IJCAI-17, pages 2067–2073, 2017. [PDF]
Lei Le and Martha White. Global optimization of regularized
factor models using alternating minimization. In 33rd International
Conference on Machine Learning (ICML 2016), Advances
in Non-convex Analysis and Optimization Workshop , New York
City, NY, June 2016.
Lei Le, Emilio Ferrara, and Alessandro Flammini. On predictability of rare events leveraging social media: A machine learning perspective.
In Proceedings of the 3rd ACM Conference on Online Social Networks (COSN’15), Palo Alto, CA, November 2015. [PDF]
|Office: || Amazon Amelia Building
|501 Fairview Ave N, Seattle, WA 98109, United States|
|Email: ||lelei1988 %A%T gmail %D%O%T com|
Last Updated in Dec, 2019. [Download]
I love soccer, basketball and baseball. In my spare time, I watch games and play them. I also like playing the guitar, video games, and reading books and manga.