Travelled to:1 × Australia
Collaborated with:S.Rajan E.Zhong Y.Shi S.Ahn A.Korattikara M.Welling
Talks about:scale (2) larg (2) recommend (1) distribut (1) discrimin (1) stochast (1) gradient (1) bayesian (1) content (1) profil (1)
Person: Nathan Liu
DBLP: Liu:Nathan
Contributed to:
2015Wrote 2 papers:
- KDD-2015-AhnKLRW #distributed #matrix #probability #scalability #using
- Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
- KDD-2015-ZhongLSR #recommendation #scalability
- Building Discriminative User Profiles for Large-scale Content Recommendation (EZ, NL, YS, SR), pp. 2277–2286.