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Lei Le
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2020 – today
- 2024
- [i6]Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR abs/2402.06859 (2024)
2010 – 2019
- 2019
- [c5]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI 2019: 4384-4391 - [c4]Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White:
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. NeurIPS 2019: 8847-8857 - 2018
- [c3]Lei Le, Andrew Patterson, Martha White:
Supervised autoencoders: Improving generalization performance with unsupervised regularizers. NeurIPS 2018: 107-117 - [i5]Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White:
Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. CoRR abs/1810.09103 (2018) - [i4]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR abs/1811.06626 (2018) - 2017
- [c2]Lei Le, Raksha Kumaraswamy, Martha White:
Learning Sparse Representations in Reinforcement Learning with Sparse Coding. IJCAI 2017: 2067-2073 - [i3]Lei Le, Raksha Kumaraswamy, Martha White:
Learning Sparse Representations in Reinforcement Learning with Sparse Coding. CoRR abs/1707.08316 (2017) - 2016
- [i2]Lei Le, Martha White:
Global optimization of factor models using alternating minimization. CoRR abs/1604.04942 (2016) - 2015
- [c1]Lei Le, Emilio Ferrara
, Alessandro Flammini:
On Predictability of Rare Events Leveraging Social Media: A Machine Learning Perspective. COSN 2015: 3-13 - [i1]Lei Le, Emilio Ferrara, Alessandro Flammini:
On predictability of rare events leveraging social media: a machine learning perspective. CoRR abs/1502.05886 (2015) - 2011
- [j1]Richard Doviak, Lei Le, Guifu Zhang, John Meier, Christopher D. Curtis:
Comparing Theory and Measurements of Cross-Polar Fields of a Phased-Array Weather Radar. IEEE Geosci. Remote. Sens. Lett. 8(5): 1002-1006 (2011)
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