Search Machine Learning Repository:
All publications by Noah A. Smith
authors venues years



Conditional Random Field Autoencoders for Unsupervised Structured Prediction
Waleed Ammar, Chris Dyer and Noah A. Smith
Advances in Neural Information Processing Systems 27, 2014


An Augmented Lagrangian Approach to Constrained MAP Inference
Pedro Aguiar, Eric P. Xing, Mário Figueiredo, Noah A. Smith and André Martins
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Learning of Structured Predictors with Multiple Kernels
André Martins, Noah A. Smith, Eric P. Xing, Pedro Aguiar and Mário Figueiredo
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Empirical Risk Minimization with Approximations of Probabilistic Grammars
Noah A. Smith and Shay B. Cohen
Advances in Neural Information Processing Systems 23, 2010


Nonextensive Information Theoretic Kernels on Measures
André Martins, Noah A. Smith, Eric P. Xing, Pedro Aguiar and Mário Figueiredo
Journal of Machine Learning Research, 2009


Tutorial summary: Structured prediction for natural language processing
Noah A. Smith
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Polyhedral outer approximations with application to natural language parsing
André Martins, Noah A. Smith and Eric P. Xing
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Nonextensive entropic kernels
André Martins, Mário Figueiredo, Pedro Aguiar, Noah A. Smith and Eric P. Xing
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel and Noah A. Smith
Advances in Neural Information Processing Systems 21, 2008