Kumar, Sushant

7 publications

ICMLW 2023 LLM-Based Aspect Augmentations for Recommendation Systems Reza Yousefi Maragheh, Lalitesh Morishetti, Ramin Giahi, Kaushiki Nag, Jianpeng Xu, Jason Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

ICLR 2022 From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation Da Xu, Yuting Ye, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

ICLR 2021 A Temporal Kernel Approach for Deep Learning with Continuous-Time Information Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

ICML 2021 Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: The Theoretical Perspectives Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

NeurIPS 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

ICLR 2020 Inductive Representation Learning on Temporal Graphs Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

NeurIPS 2019 Self-Attention with Functional Time Representation Learning Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan