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All publications by Le Song
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Time-Sensitive Recommendation From Recurrent User Activities
Nan Du, Yichen Wang, Niao He, Jimeng Sun and Le Song
Advances in Neural Information Processing Systems 28, 2015


Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang and Le Song
Advances in Neural Information Processing Systems 28, 2015


Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
Yu-ying Liu, Shuang Li, Fuxin Li, Le Song and James M. Rehg
Advances in Neural Information Processing Systems 28, 2015


COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-rodriguez, Shuang Li, Hongyuan Zha and Le Song
Advances in Neural Information Processing Systems 28, 2015


M-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai and Le Song
Advances in Neural Information Processing Systems 28, 2015


Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai and Bo Xie
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Influence Function Learning in Information Diffusion Networks
Nan Du, Yingyu Liang, Le Song and Maria-Florina Balcan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-rodriguez, Le Song and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song and Gregory Valiant
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Active Learning and Best-Response Dynamics
Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Learning Time-Varying Coverage Functions
Nan Du, Yingyu Liang, Le Song and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez-rodriguez, Isabel Valera, Hongyuan Zha and Le Song
Advances in Neural Information Processing Systems 27, 2014


Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Le Song and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Learning Triggering Kernels for Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Tensor Decomposition of Latent Tree Graphical Models
Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing and Haesun Park
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Low Rank Kernel Embeddings of Multivariate Distributions
Le Song and Bo Dai
Advances in Neural Information Processing Systems 26, 2013


Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez-rodriguez and Hongyuan Zha
Advances in Neural Information Processing Systems 26, 2013


Learning Networks of Heterogeneous Influence
Nan Du, Le Song, Ming Yuan and Alex J. Smola
Advances in Neural Information Processing Systems 25, 2012


Kernel Embeddings of Latent Tree Graphical Models
Le Song, Eric P. Xing and Ankur P. Parikh
Advances in Neural Information Processing Systems 24, 2011


Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song and Tong Zhang
Advances in Neural Information Processing Systems 24, 2011


Kernel Bayes' Rule
Kenji Fukumizu, Le Song and Arthur Gretton
Advances in Neural Information Processing Systems 24, 2011


A Spectral Algorithm for Latent Tree Graphical Models
Le Song, Eric P. Xing and Ankur P. Parikh
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur P. Parikh, Le Song and Eric P. Xing
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hilbert Space Embeddings of Hidden Markov Models
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon and Alex J. Smola
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Nonparametric Tree Graphical Models
Le Song, Arthur Gretton and Carlos Guestrin
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning Nonlinear Dynamic Models from Non-sequenced Data
Tzu-kuo Huang, Le Song and Jeff G. Schneider
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Hilbert space embeddings of conditional distributions with applications to dynamical systems
Le Song, Jonathan Huang, Kenji Fukumizu and Alex J. Smola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Dynamic mixed membership blockmodel for evolving networks
Wenjie Fu, Le Song and Eric P. Xing
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Time-Varying Dynamic Bayesian Networks
Le Song, Mladen Kolar and Eric P. Xing
Advances in Neural Information Processing Systems 22, 2009


Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song and Eric P. Xing
Advances in Neural Information Processing Systems 22, 2009


Relative Novelty Detection
Le Song, Choon H. Teo and Alex J. Smola
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tailoring density estimation via reproducing kernel moment matching
Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Kernelized Sorting
Novi Quadrianto, Le Song and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Supervised feature selection via dependence estimation
Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt and Justin Bedo
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A dependence maximization view of clustering
Le Song, Arthur Gretton, Karsten M. Borgwardt and Alex J. Smola
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo, Le Song, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Colored Maximum Variance Unfolding
Le Song, Arthur Gretton, Karsten M. Borgwardt and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features
Le Song and Julien Epps
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface
Le Song, Evian Gordon and Elly Gysels
Advances in Neural Information Processing Systems 18, 2005