Paul Mineiro
Paul Mineiro
Microsoft
Verified email at mineiro.com
Title
Cited by
Cited by
Year
Machine learning on big data
T Condie, P Mineiro, N Polyzotis, M Weimer
2013 IEEE 29th International Conference on Data Engineering (ICDE), 1242-1244, 2013
742013
Normalized online learning
S Ross, P Mineiro, J Langford
arXiv preprint arXiv:1305.6646, 2013
652013
Analysis of direction selectivity arising from recurrent cortical interactions
P Mineiro, D Zipser
Neural Computation 10 (2), 353-371, 1998
491998
A self-organizing neural network architecture for navigation using optic flow
S Cameron, S Grossberg, FH Guenther
Neural Computation 10 (2), 313-352, 1998
411998
A Monte Carlo EM approach for partially observable diffusion processes: theory and applications to neural networks
JR Movellan, P Mineiro, RJ Williams
Neural computation 14 (7), 1507-1544, 2002
352002
Robust sensor fusion: Analysis and application to audio visual speech recognition
JR Movellan, P Mineiro
Machine Learning 32 (2), 85-100, 1998
351998
Logarithmic time one-against-some
H Daumé III, N Karampatziakis, J Langford, P Mineiro
International Conference on Machine Learning, 923-932, 2017
332017
Discriminative features via generalized eigenvectors
N Karampatziakis, P Mineiro
International Conference on Machine Learning, 494-502, 2014
332014
Fast label embeddings via randomized linear algebra
P Mineiro, N Karampatziakis
Joint European conference on machine learning and knowledge discovery in …, 2015
212015
Modularity and catastrophic fusion: A bayesian approach with applications to audio-visual speech recognition
JR Movellan, P Mineiro
Departement of Cognitive Science, USCD1996, 1996
181996
Learning reductions that really work
A Beygelzimer, H Daumé, J Langford, P Mineiro
Proceedings of the IEEE 104 (1), 136-147, 2015
132015
Fast label embeddings for extremely large output spaces
P Mineiro, N Karampatziakis
arXiv preprint arXiv:1503.08873, 2015
132015
A randomized algorithm for cca
P Mineiro, N Karampatziakis
arXiv preprint arXiv:1411.3409, 2014
132014
Distributed latent dirichlet allocation via tensor factorization
F Huang, S Matusevych, A Anandkumar, N Karampatziakis, P Mineiro
NIPS Optimization Workshop 1, 2014
122014
Loss-proportional subsampling for subsequent erm
P Mineiro, N Karampatziakis
arXiv preprint arXiv:1306.1840, 2013
92013
Bayesian robustification for audio visual fusion
JR Movellan, P Mineiro
Advances in Neural Information Processing Systems, 742-748, 1998
91998
Active information acquisition
H He, P Mineiro, N Karampatziakis
arXiv preprint arXiv:1602.02181, 2016
82016
Learning path distributions using nonequilibrium diffusion networks
P Mineiro, JR Movellan, RJ Williams
Advances in neural information processing systems, 598-604, 1998
81998
A diffusion network approach to visual speech recognition
JR Movellan, P Mineiro
AVSP'99-International Conference on Auditory-Visual Speech Processing, 1999
71999
Scalable multilabel prediction via randomized methods
N Karampatziakis, P Mineiro
arXiv preprint arXiv:1502.02710, 2015
62015
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