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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets., , , , , , , , , and 1 other author(s). CoRR, (2014)Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds., and . CoRR, (2018)A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition., , , , , , , , , and 1 other author(s). CoRR, (2016)WMRB: Learning to Rank in a Scalable Batch Training Approach., and . RecSys Posters, volume 1905 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)A Batch Learning Framework for Scalable Personalized Ranking., and . CoRR, (2017)Similarity Learning for High-Dimensional Sparse Data., , and . CoRR, (2014)Temporal learning and sequence modeling for a job recommender system., , , , and . RecSys Challenge, page 7:1-7:4. ACM, (2016)Effects of Carbon Emission Taxes on Transportation Mode Selections and Social Welfare., , , and . IEEE Trans. Systems, Man, and Cybernetics: Systems, 45 (11): 1413-1423 (2015)A comparison between deep neural nets and kernel acoustic models for speech recognition., , , , , , , , , and 1 other author(s). ICASSP, page 5070-5074. IEEE, (2016)A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes., , and . CoRR, (2018)