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Travelled to:
1 × Australia
1 × Canada
1 × China
1 × Finland
1 × Israel
5 × USA
Collaborated with:
A.J.Smola E.P.Xing M.Gomez-Rodriguez A.Gretton M.Ishteva H.Park A.P.Parikh J.Epps N.Du B.Schölkopf K.M.Borgwardt E.B.Khalil B.N.Dilkina K.Zhou H.Zha W.Fu H.Daneshmand Y.Liang M.Balcan A.Anandkumar B.Dai B.Xie J.Huang K.Fukumizu M.Farajtabar A.Ahmed A.Agarwal S.M.Kakade N.Karampatziakis G.Valiant B.Boots S.M.Siddiqi G.J.Gordon X.Zhang J.Bedo
Talks about:
network (5) model (5) latent (4) diffus (4) learn (4) estim (4) multi (3) dynam (3) tree (3) algorithm (2)

Person: Le Song

DBLP DBLP: Song:Le

Contributed to:

KDD 20152015
ICML c2 20142014
KDD 20142014
ICML c3 20132013
ICML 20112011
ICML 20102010
ICML 20092009
ICML 20082008
ICML 20072007
ICML 20062006

Wrote 18 papers:

KDD-2015-DuFASS #clustering #documentation #process
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams (ND, MF, AA, AJS, LS), pp. 219–228.
KDD-2015-Gomez-Rodriguez #machine learning #modelling #network #probability #problem #research #social
Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods (MGR, LS), pp. 2315–2316.
ICML-c2-2014-AgarwalKKSV #multi #predict #scalability
Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.
ICML-c2-2014-DaneshmandGSS #algorithm #complexity #network
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm (HD, MGR, LS, BS), pp. 793–801.
ICML-c2-2014-DuLBS #information management #learning #network
Influence Function Learning in Information Diffusion Networks (ND, YL, MFB, LS), pp. 2016–2024.
ICML-c2-2014-SongADX #estimation #modelling #multi #parametricity
Nonparametric Estimation of Multi-View Latent Variable Models (LS, AA, BD, BX), pp. 640–648.
KDD-2014-KhalilDS #network #optimisation #scalability
Scalable diffusion-aware optimization of network topology (EBK, BND, LS), pp. 1226–1235.
ICML-c3-2013-IshtevaPS #order #using
Unfolding Latent Tree Structures using 4th Order Tensors (MI, HP, LS), pp. 316–324.
ICML-c3-2013-SongIPXP #composition #modelling #visual notation
Hierarchical Tensor Decomposition of Latent Tree Graphical Models (LS, MI, APP, EPX, HP), pp. 334–342.
ICML-c3-2013-ZhouZS #kernel #learning #multi #process
Learning Triggering Kernels for Multi-dimensional Hawkes Processes (KZ, HZ, LS), pp. 1301–1309.
ICML-2011-ParikhSX #algorithm #modelling #visual notation
A Spectral Algorithm for Latent Tree Graphical Models (APP, LS, EPX), pp. 1065–1072.
ICML-2010-SongSGS #markov #modelling
Hilbert Space Embeddings of Hidden Markov Models (LS, BB, SMS, GJG, AJS), pp. 991–998.
ICML-2009-FuSX #evolution #network
Dynamic mixed membership blockmodel for evolving networks (WF, LS, EPX), pp. 329–336.
ICML-2009-SongHSF
Hilbert space embeddings of conditional distributions with applications to dynamical systems (LS, JH, AJS, KF), pp. 961–968.
ICML-2008-SongZSGS #estimation #kernel
Tailoring density estimation via reproducing kernel moment matching (LS, XZ, AJS, AG, BS), pp. 992–999.
ICML-2007-SongSGB #clustering #dependence
A dependence maximization view of clustering (LS, AJS, AG, KMB), pp. 815–822.
ICML-2007-SongSGBB #dependence #estimation #feature model
Supervised feature selection via dependence estimation (LS, AJS, AG, KMB, JB), pp. 823–830.
ICML-2006-SongE #human-computer #interface #learning
Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features (LS, JE), pp. 857–864.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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