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Kuan Liu

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Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds

Oct 31, 2018
Kuan Liu, Aurélien Bellet

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Learn to Combine Modalities in Multimodal Deep Learning

May 29, 2018
Kuan Liu, Yanen Li, Ning Xu, Prem Natarajan

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A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes

May 28, 2018
Kuan Liu, Xing Shi, Prem Natarajan

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A Batch Learning Framework for Scalable Personalized Ranking

Nov 10, 2017
Kuan Liu, Prem Natarajan

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WMRB: Learning to Rank in a Scalable Batch Training Approach

Nov 10, 2017
Kuan Liu, Prem Natarajan

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Kernel Approximation Methods for Speech Recognition

Jan 13, 2017
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha

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Temporal Learning and Sequence Modeling for a Job Recommender System

Aug 11, 2016
Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan

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A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition

Mar 18, 2016
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurelien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

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Similarity Learning for High-Dimensional Sparse Data

Oct 21, 2015
Kuan Liu, Aurélien Bellet, Fei Sha

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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets

Jun 17, 2015
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

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