Travelled to:
1 × Australia
1 × USA
Collaborated with:
E.P.Xing Y.Yu J.Zhu L.Zhou B.Zhang Q.Ho W.Dai J.K.Kim J.Wei S.Lee P.Xie A.Kumar
Talks about:
topic (2) model (2) distribut (1) supervis (1) platform (1) composit (1) scalabl (1) sampler (1) propos (1) petuum (1)
Person: Xun Zheng
DBLP: Zheng:Xun
Contributed to:
Wrote 3 papers:
- KDD-2015-XingHDKWLZXKY #big data #distributed #framework #machine learning #named #platform
- Petuum: A New Platform for Distributed Machine Learning on Big Data (EPX, QH, WD, JKK, JW, SL, XZ, PX, AK, YY), pp. 1335–1344.
- KDD-2015-ZhengYX #composition #linear #modelling #topic #using
- Linear Time Samplers for Supervised Topic Models using Compositional Proposals (XZ, YY, EPX), pp. 1523–1532.
- KDD-2013-ZhuZZZ #modelling #scalability #topic
- Scalable inference in max-margin topic models (JZ, XZ, LZ, BZ), pp. 964–972.