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Li Zhang 0001
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Publications
- 2023
- [c54]Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. ICML 2023: 17784-17807 - [c53]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. RecSys 2023: 805-812 - [i31]Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. CoRR abs/2302.07975 (2023) - [i27]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. CoRR abs/2309.11516 (2023) - 2022
- [c52]Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren:
Revisiting the Performance of iALS on Item Recommendation Benchmarks. RecSys 2022: 427-435 - 2021
- [c51]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: 1877-1887 - [i26]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 abs/2107.09802 (2021) - [i25]Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren:
Revisiting the Performance of iALS on Item Recommendation Benchmarks. CoRR abs/2110.14037 (2021) - [i24]Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren:
iALS++: Speeding up Matrix Factorization with Subspace Optimization. CoRR abs/2110.14044 (2021) - [i23]Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang:
ALX: Large Scale Matrix Factorization on TPUs. CoRR abs/2112.02194 (2021) - 2020
- [c48]Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang:
Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS 2020 - [c47]Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys 2020: 240-248 - [i22]John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang:
Superbloom: Bloom filter meets Transformer. CoRR abs/2002.04723 (2020) - [i21]Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR abs/2005.09683 (2020) - 2019
- [c46]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 - 2018
- [i16]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 abs/1807.07187 (2018)
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