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Paul Mineiro
Paul Mineiro
Microsoft
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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
992013
Normalized online learning
S Ross, P Mineiro, J Langford
arXiv preprint arXiv:1305.6646, 2013
812013
Analysis of direction selectivity arising from recurrent cortical interactions
P Mineiro, D Zipser
Neural Computation 10 (2), 353-371, 1998
561998
Bellman-consistent pessimism for offline reinforcement learning
T Xie, CA Cheng, N Jiang, P Mineiro, A Agarwal
Advances in neural information processing systems 34, 6683-6694, 2021
512021
Logarithmic time one-against-some
H Daumé III, N Karampatziakis, J Langford, P Mineiro
International Conference on Machine Learning, 923-932, 2017
442017
Discriminative features via generalized eigenvectors
N Karampatziakis, P Mineiro
International Conference on Machine Learning, 494-502, 2014
372014
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
372002
Robust sensor fusion: Analysis and application to audio visual speech recognition
JR Movellan, P Mineiro
Machine Learning 32 (2), 85-100, 1998
361998
Fast label embeddings via randomized linear algebra
P Mineiro, N Karampatziakis
Joint European conference on machine learning and knowledge discovery in …, 2015
272015
Learning reductions that really work
A Beygelzimer, H Daumé, J Langford, P Mineiro
Proceedings of the IEEE 104 (1), 136-147, 2015
202015
Modularity and catastrophic fusion: A bayesian approach with applications to audio-visual speech recognition
JR Movellan, P Mineiro
Departement of Cognitive Science, USCD, San Diego, CA, Tech. Rep 97, 1997
191997
A randomized algorithm for cca
P Mineiro, N Karampatziakis
arXiv preprint arXiv:1411.3409, 2014
182014
Fast label embeddings for extremely large output spaces
P Mineiro, N Karampatziakis
arXiv preprint arXiv:1503.08873, 2015
162015
Distributed latent dirichlet allocation via tensor factorization
F Huang, S Matusevych, A Anandkumar, N Karampatziakis, P Mineiro
NIPS Optimization Workshop 1, 2014
142014
Active information acquisition
H He, P Mineiro, N Karampatziakis
arXiv preprint arXiv:1602.02181, 2016
122016
Loss-proportional subsampling for subsequent erm
P Mineiro, N Karampatziakis
International Conference on Machine Learning, 522-530, 2013
92013
A diffusion network approach to visual speech recognition
JR Movellan, P Mineiro
AVSP'99-International Conference on Auditory-Visual Speech Processing, 1999
91999
Bayesian robustification for audio visual fusion
J Movellan, P Mineiro
Advances in Neural Information Processing Systems 10, 1997
91997
Empirical likelihood for contextual bandits
N Karampatziakis, J Langford, P Mineiro
Advances in Neural Information Processing Systems 33, 9597-9607, 2020
72020
Lessons from real-world reinforcement learning in a customer support bot
N Karampatziakis, S Kochman, J Huang, P Mineiro, K Osborne, W Chen
CoRR, abs/1905.02219, 2019
72019
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