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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

* Long version of arXiv:1411.2374 (AISTATS 2015) 

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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

* A shorter version appeared in ICDM 2017 SERecsys workshop 

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A Batch Learning Framework for Scalable Personalized Ranking


Nov 10, 2017
Kuan Liu, Prem Natarajan

* AAAI Conference on Artificial Intelligence 2018; Thirty-Second AAAI Conference on Artificial Intelligence 
* AAAI 2018, Feb 2-7, New Orleans, USA 

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WMRB: Learning to Rank in a Scalable Batch Training Approach


Nov 10, 2017
Kuan Liu, Prem Natarajan

* RecSys 2017 Poster Proceedings, August 27-31, Como, Italy 

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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

* a shorter version in proceedings of RecSys Challenge 2016 

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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

* arXiv admin note: text overlap with arXiv:1411.4000 

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Similarity Learning for High-Dimensional Sparse Data


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

* 14 pages. Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS 2015) 

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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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