8 citations · 21 across the 4 of their papers we have counts for
4 papers
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song +31
We present LiRank, a large-scale ranking framework at LinkedIn that brings to production state-of-the-art modeling architectures and optimization methods. We unveil several modelin…
The Utility of Sparse Representations for Control in Reinforcement Learning
Vincent Liu, Raksha Kumaraswamy, Lei Le +1
We investigate sparse representations for control in reinforcement learning. While these representations are widely used in computer vision, their prevalence in reinforcement learn…
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le, Raksha Kumaraswamy, Martha White
A variety of representation learning approaches have been investigated for reinforcement learning; much less attention, however, has been given to investigating the utility of spar…
On predictability of rare events leveraging social media: a machine learning perspective
Lei Le, Emilio Ferrara, Alessandro Flammini
Information extracted from social media streams has been leveraged to forecast the outcome of a large number of real-world events, from political elections to stock market fluctuat…