Rendle, Steffen

7 publications

AISTATS 2024 Private Learning with Public Features Walid Krichene, Nicolas E Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

IJCAI 2021 On Sampled Metrics for Item Recommendation (Extended Abstract) Walid Krichene, Steffen Rendle

ICML 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

NeurIPS 2020 Rankmax: An Adaptive Projection Alternative to the SoftMax Function Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang

ICLR 2019 Efficient Training on Very Large Corpora via Gramian Estimation Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, John Anderson

ICML 2018 Adaptive Sampled SoftMax with Kernel Based Sampling Guy Blanc, Steffen Rendle

UAI 2009 BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme