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cs.IR2022
UFNRec: Utilizing False Negative Samples for Sequential Recommendation
Xiaoyang Liu, Chong Liu, Pinzheng Wang +5
Sequential recommendation models are primarily optimized to distinguish positive samples from negative ones during training in which negative sampling serves as an essential compon…
stat.ML2022
Concentration of Random Feature Matrices in High-Dimensions
Zhijun Chen, Hayden Schaeffer, Rachel Ward
The spectra of random feature matrices provide essential information on the conditioning of the linear system used in random feature regression problems and are thus connected to t…