Li Zhang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Item Recommendation

Factorization Methods

Top Venues

Publications

Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang
Multi-Task Differential Privacy Under Distribution Skew. CoRR (2023)
Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. ICML (2021)
Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. CoRR (2021)
Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang
Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS (2020)
Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR (2020)
Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM (2020)
Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys (2020)
Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR (2020)
John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang
Superbloom: Bloom filter meets Transformer. CoRR (2020)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) (2019)
Steffen Rendle, Li Zhang, Yehuda Koren
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems. CoRR (2019)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR (2018)