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07/20/2018
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
Similarity and metric learning provides a principled approach to constru...
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05/29/2018
Learn to Combine Modalities in Multimodal Deep Learning
Combining complementary information from multiple modalities is intuitiv...
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05/28/2018
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes
Attributes, such as metadata and profile, carry useful information which...
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11/10/2017
A Batch Learning Framework for Scalable Personalized Ranking
In designing personalized ranking algorithms, it is desirable to encoura...
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11/10/2017
WMRB: Learning to Rank in a Scalable Batch Training Approach
We propose a new learning to rank algorithm, named Weighted Margin-Rank ...
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01/13/2017
Kernel Approximation Methods for Speech Recognition
We study large-scale kernel methods for acoustic modeling in speech reco...
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08/11/2016
Temporal Learning and Sequence Modeling for a Job Recommender System
We present our solution to the job recommendation task for RecSys Challe...
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03/18/2016
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
We study large-scale kernel methods for acoustic modeling and compare to...
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11/14/2014
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
The computational complexity of kernel methods has often been a major ba...
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11/10/2014