Le Song

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2011
29TVNViewer: An interactive visualization tool for exploring networks that change over time or space. Ross E. Curtis, Amos Yuen, Le Song, Anuj Goyal, Eric P. Xing. Bioinformatics [ISMB/ECCB] (27): 1880-1881 (2011). Web SearchBibTeXDownload
28Spectral Methods for Learning Multivariate Latent Tree Structure. Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang. CoRR (abs/1107.1283) (2011). Web SearchBibTeXDownload
27Kernel Belief Propagation. Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin. CoRR (abs/1105.5592) (2011). Web SearchBibTeXDownload
26A Spectral Algorithm for Latent Tree Graphical Models. Ankur P. Parikh, Le Song, Eric P. Xing. ICML 2011, 1065-1072. Web SearchBibTeX
25Multiscale Community Blockmodel for Network Exploration. Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing. Journal of Machine Learning Research - Proceedings Track (15): 333-341 (2011). Web SearchBibTeXDownload
24Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. Qirong Ho, Le Song, Eric P. Xing. Journal of Machine Learning Research - Proceedings Track (15): 342-350 (2011). Web SearchBibTeXDownload
2010
23Hilbert Space Embeddings of Hidden Markov Models. Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola. ICML 2010, 991-998. Web SearchBibTeXDownload
22Kernelized Sorting. Novi Quadrianto, Alex J. Smola, Le Song, Tinne Tuytelaars. IEEE Trans. Pattern Anal. Mach. Intell. (32): 1809-1821 (2010). Web SearchBibTeXDownload
21Nonparametric Tree Graphical Models. Le Song, Arthur Gretton, Carlos Guestrin. Journal of Machine Learning Research - Proceedings Track (9): 765-772 (2010). Web SearchBibTeXDownload
20Learning Nonlinear Dynamic Models from Non-sequenced Data. Tzu-Kuo Huang, Le Song, Jeff G. Schneider. Journal of Machine Learning Research - Proceedings Track (9): 350-357 (2010). Web SearchBibTeXDownload
19Discriminative frequent subgraph mining with optimality guarantees. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt. Statistical Analysis and Data Mining (3): 302-318 (2010). Web SearchBibTeXDownload
2009
18KELLER: estimating time-varying interactions between genes. Le Song, Mladen Kolar, Eric P. Xing. Bioinformatics (25) (2009). Web SearchBibTeXDownload
17Hilbert space embeddings of conditional distributions with applications to dynamical systems. Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu. ICML 2009, 121. Web SearchBibTeXDownload
16Dynamic mixed membership blockmodel for evolving networks. Wenjie Fu, Le Song, Eric P. Xing. ICML 2009, 42. Web SearchBibTeXDownload
15Relative Novelty Detection. Alexander J. Smola, Le Song, Choon Hui Teo. Journal of Machine Learning Research - Proceedings Track (5): 536-543 (2009). Web SearchBibTeXDownload
14Sparsistent Learning of Varying-coefficient Models with Structural Changes. Mladen Kolar, Le Song, Eric P. Xing. NIPS 2009, 1006-1014. Web SearchBibTeXDownload
13Time-Varying Dynamic Bayesian Networks. Le Song, Mladen Kolar, Eric P. Xing. NIPS 2009, 1732-1740. Web SearchBibTeXDownload
12Near-optimal Supervised Feature Selection among Frequent Subgraphs. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt. SDM 2009, 1075-1086. Cited by 5Web SearchBibTeXDownload
2008
11Tailoring density estimation via reproducing kernel moment matching. Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf. ICML 2008, 992-999. Web SearchBibTeXDownload
10Kernelized Sorting. Novi Quadrianto, Alex J. Smola, Le Song, Tinne Tuytelaars. NIPS 2008, 1289-1296. Web SearchBibTeXDownload
9Kernel Measures of Independence for non-iid Data. Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola. NIPS 2008, 1937-1944. Web SearchBibTeXDownload
2007
8A Hilbert Space Embedding for Distributions. Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf. ALT 2007, 13-31. Web SearchBibTeXDownload
7Supervised Feature Selection via Dependence Estimation. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo. CoRR (abs/0704.2668) (2007). Web SearchBibTeXDownload
6Supervised feature selection via dependence estimation. Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo. ICML 2007, 823-830. Web SearchBibTeXDownload
5A dependence maximization view of clustering. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt. ICML 2007, 815-822. Web SearchBibTeXDownload
4Gene selection via the BAHSIC family of algorithms. Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola. ISMB/ECCB (Supplement of Bioinformatics) 2007, 490-498. Web SearchBibTeXDownload
3A Kernel Statistical Test of Independence. Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola. NIPS 2007. Web SearchBibTeXDownload
2Colored Maximum Variance Unfolding. Le Song, Alex J. Smola, Karsten M. Borgwardt, Arthur Gretton. NIPS 2007. Web SearchBibTeXDownload
2005
1Visualisation and Analysis of Large and Complex Scale-free Networks. Adel Ahmed, Tim Dwyer, Seok-Hee Hong, Colin Murray, Le Song, Ying Xin Wu. EuroVis 2005, 239-246. Web SearchBibTeXDownload
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