Search Results for author: Kailun Wu

Found 4 papers, 2 papers with code

Learning Fast Approximations of Sparse Nonlinear Regression

1 code implementation26 Oct 2020 Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, ChangShui Zhang

The idea of unfolding iterative algorithms as deep neural networks has been widely applied in solving sparse coding problems, providing both solid theoretical analysis in convergence rate and superior empirical performance.

Sparse Coding with Gated Learned ISTA

1 code implementation ICLR 2020 Kailun Wu, Yiwen Guo, Ziang Li, Chang-Shui Zhang

In this paper, we study the learned iterative shrinkage thresholding algorithm (LISTA) for solving sparse coding problems.

Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling

no code implementations25 Jun 2019 Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai

In this paper, we model user behavior using an interest delay model, study carefully the embedding mechanism, and obtain two important results: (i) We theoretically prove that small aggregation radius of embedding vectors of items which belongs to a same user interest domain will result in good generalization performance of deep CTR model.

Click-Through Rate Prediction

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