Travelled to:1 × Australia
1 × Austria
1 × France
1 × USA
Collaborated with:L.Getoor S.Fakhraei S.H.Kumar M.V.S.Shashanka X.He T.Rekatsinas Y.Liu P.Kouki M.Eirinaki L.Boyles C.DuBois P.Smyth M.Welling
Talks about:topic (4) network (3) model (3) probabilist (2) framework (2) latent (2) infer (2) recommend (1) dirichlet (1) versatil (1)
Person: James R. Foulds
DBLP: Foulds:James_R=
Contributed to:
2015
2015
20152013Wrote 5 papers:
- ICML-2015-FouldsKG #framework #modelling #network #probability #programming #topic
- Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (JRF, SHK, LG), pp. 777–786.
- ICML-2015-HeRFGL #modelling #named #network #topic
- HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades (XH, TR, JRF, LG, YL), pp. 871–880.
- KDD-2015-FakhraeiFSG #detection #evolution #multi #network #social
- Collective Spammer Detection in Evolving Multi-Relational Social Networks (SF, JRF, MVSS, LG), pp. 1769–1778.
- RecSys-2015-KoukiFFEG #flexibility #framework #hybrid #named #probability #recommendation
- HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems (PK, SF, JRF, ME, LG), pp. 99–106.
- KDD-2013-FouldsBDSW #probability
- Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation (JRF, LB, CD, PS, MW), pp. 446–454.