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Causal Structure Learning with Recommendation System


Oct 19, 2022
Shuyuan Xu, Da Xu, Evren Korpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

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NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation


Feb 11, 2022
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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* 11 pages, 4 figures; Published in: 2021 IEEE International Conference on Big Data (Big Data) 

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Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives


Oct 23, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Towards the D-Optimal Online Experiment Design for Recommender Selection


Oct 23, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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A Temporal Kernel Approach for Deep Learning with Continuous-time Information


Mar 28, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Theoretical Understandings of Product Embedding for E-commerce Machine Learning


Feb 24, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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GAN-based Recommendation with Positive-Unlabeled Sampling


Dec 12, 2020
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Korpeoglu, Kannan Achan, Jingrui He

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* 12 pages 

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Inductive Representation Learning on Temporal Graphs


Feb 19, 2020
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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Self-attention with Functional Time Representation Learning


Nov 28, 2019
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Korpeoglu, Kannan Achan

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Product Knowledge Graph Embedding for E-commerce


Nov 28, 2019
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

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