Le Song
Le Song
Email verificata su cc.gatech.edu - Home page
TitoloCitata daAnno
Sphereface: Deep hypersphere embedding for face recognition
W Liu, Y Wen, Z Yu, M Li, B Raj, L Song
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5492017
A Hilbert space embedding for distributions
A Smola, A Gretton, L Song, B Schölkopf
International Conference on Algorithmic Learning Theory, 13-31, 2007
5052007
A kernel statistical test of independence
A Gretton, K Fukumizu, CH Teo, L Song, B Schölkopf, AJ Smola
Advances in neural information processing systems, 585-592, 2008
4342008
Supervised feature selection via dependence estimation
L Song, A Smola, A Gretton, KM Borgwardt, J Bedo
Proceedings of the 24th international conference on Machine learning, 823-830, 2007
2642007
Feature selection via dependence maximization
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
Journal of Machine Learning Research 13 (May), 1393-1434, 2012
2592012
Estimating time-varying networks
M Kolar, L Song, A Ahmed, EP Xing
The Annals of Applied Statistics 4 (1), 94-123, 2010
2502010
The ‘when’and ‘where’of perceiving signals of threat versus non-threat
LM Williams, D Palmer, BJ Liddell, L Song, E Gordon
Neuroimage 31 (1), 458-467, 2006
2442006
Scalable influence estimation in continuous-time diffusion networks
N Du, L Song, MG Rodriguez, H Zha
Advances in neural information processing systems, 3147-3155, 2013
2212013
Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes
K Zhou, H Zha, L Song
Artificial Intelligence and Statistics, 641-649, 2013
2102013
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International conference on machine learning, 2702-2711, 2016
1902016
A state-space mixed membership blockmodel for dynamic network tomography
EP Xing, W Fu, L Song
The Annals of Applied Statistics 4 (2), 535-566, 2010
1902010
Deep fried convnets
Z Yang, M Moczulski, M Denil, N de Freitas, A Smola, L Song, Z Wang
Proceedings of the IEEE International Conference on Computer Vision, 1476-1483, 2015
1882015
Hilbert space embeddings of hidden Markov models
L Song, B Boots, SM Siddiqi, GJ Gordon, A Smola
figshare, 2010
1862010
Hilbert space embeddings of conditional distributions with applications to dynamical systems
L Song, J Huang, A Smola, K Fukumizu
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1782009
Recurrent marked temporal point processes: Embedding event history to vector
N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
1752016
Time-varying dynamic bayesian networks
L Song, M Kolar, EP Xing
Advances in neural information processing systems, 1732-1740, 2009
1712009
Learning combinatorial optimization algorithms over graphs
E Khalil, H Dai, Y Zhang, B Dilkina, L Song
Advances in Neural Information Processing Systems, 6348-6358, 2017
1602017
Dynamic mixed membership blockmodel for evolving networks
W Fu, L Song, EP Xing
Proceedings of the 26th annual international conference on machine learning …, 2009
1602009
Scalable kernel methods via doubly stochastic gradients
B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song
Advances in Neural Information Processing Systems, 3041-3049, 2014
1532014
Learning triggering kernels for multi-dimensional hawkes processes
K Zhou, H Zha, L Song
International Conference on Machine Learning, 1301-1309, 2013
1332013
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