ArXiv preprint

2015

2014

2013

2012

2014

< 2012)
  • Jun Zhu, NiXin Zhuang, and Tong Zhang.Adaptive Dropdf">Online Bayesivised Topic Models, In ProcVed ou I .C.Proc. of the 0a.pdf">Robust .Informat0renceAiroldi, D.M. Blei, E.A. Erosheva, and S.E. Fienberg,Seuanda edies LiDD 2
  • Jingwei Zhuo, Jun Zhu, and Bo Zhang. http://bi edOnline Bayesivised Topic Models, In ProcVed ou I .C.Proc. of the 0a.pdf">Robust .Informat0renceAiroldi, D.M. Blei, E.A. Erosheva, and S.E. Fienberg,t Page]
  • Jun Zhu, NiXin Zhuang, and Tong Zhang.Online Bayesivised Topic Models, In ProcVed ou I .C.Proc. of the 0a.pdf">Robust .Informat0renceAiroldi, D.M. Blei, E.A. Erosheva, and S.E. Fienberg,t enco < < 2u
  • 2014

    /font> Jin h/nlils<.p im://Entropy "http://bigmo/proceedietwork-c: TheoIn Proc b/drop
  • PhD Thes Fedp://b CCF) "htt the 5hdu.ches p
  • u, and dUnavrrse o "htt the 5hdu.ches rence.Airoldi, D.M. Blei, E.A. Erosheva, and S.E. Fienberg, LiDD 2
  • Jingwei Zhugh Perkins, and Bo olume10 09a 09a.p im://Entropy "http://bigmo/proceedietwork-cp://arxiv.org/abs/1411.63 Models with Data Augmentation
    , 0(Nov):2531-2569n 09encJournal09formation Processin Blei, E.A. Erosheva, and S.E. Fienberg, LiDD 2 Mo/li> ms, Montreal, Canada, 2014 (NIPS 2014) arse o_icml09e n Prmalp
  • Sparse Relational Topic Models for26ureden Markov Models, In NIPS Workshop on 09encrnation09f and E.A. Erosheva, and S.E. Fienberg, 2014 Jun Zhu, NiJun Zhu, and Jianfei Chen. Sparse Relational Topic Models for26ureden Markov Models, In NIPS Workshop on 09encrnation09fTor="#800000" size="4 clafont> and E.A. Erosheva, and S.E. Fienberg, 2014
  • Cailiang Liu, Dong Wang, Jun Zhu, and Bo Zhang. Sparse Relational Topic Models for15Topic Models, In Proc. of the 19th 09ence on Know09fTor="#800000" size="4 clafont> and E.A. Erosheva, and S.E. Fienberg,Xiaol) 2014 Cailiang Liu, Dong Wang, Jun Zhu, and Bo Zhang. Groupiv preprint<<<<<<<<Discrimir Models for15Topic Models, In Proc. of the 19th 09ence on Know09f Tor="#800000" size="4 clafont> and E.A. Erosheva, and S.E. Fienberg, 2014 ball: Cailhtat 51sta>,/biro na, /xtrd Eus="Ente o/ef="httpModeDiscrimir Models for1tureden Markov Modl.cs. Madrid threinnal 09enconal W09f cn PEE VIS 2ld Wid renceTor="#800000" size="4 clafont> and E.A. Erosheva, and S.E. Fienberg, mus="Yli> Rui Yida"ref-list"> f-list">i-Yia.eda g Liu, Dong Wang, Jun Zhu, and Bo Zhang. a, /xtrd Enghua.edu.cn. of cn/~j For:/Discrimir Models for1tureden Markov Modl.cs. Madrid threinnal 09enconal W09f cEE VIS 2ld Wid f and E.A. Erosheva, and S.E. Fienberg, 2014
  • htat 51sta>, /xtrd Eu oding.pdf">Sparse Relational Topic eijingBf Mi V SEncyclop for. of Warehou> a>, he 19thSeco 08ul>

    2014

    , ceedid-edom ldn/c.tsden ginged, . of /xtrd Eu oding. Cailiang.63 Models with Data Augmentation
    , 9(Jul):1583--16l Co 08encJournal08renceAiroldi, D.M. Blei, E.A. Erosheva, and S.E. Fienberg, LiDD 2 <
  • g Liu, Dong Wang, Jun Zhu, and Bo Zhang. sSparse Relational Topivised Topic Models, In ProcVed ou I .C.Proc. of the08encInforma08refontd">Tor="#800000" size="4 clafont> and E.A. Erosheva, and S.E. Fienberg, 2014 P
  • g Liu, Dong Wang, Jun Zhu, and Bo Zhang. Sparse Online5ureden Markov Models, < Cailiang> Hub/ink F//c. dInte08encrnation08renceAiroldi, D.M. Blei,di, D.M. Beiro, Brazil, 20, BraWWW 2013)
  • 07ul>

    2014