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All publications by Percy Liang
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Learning Fast-Mixing Models for Structured Prediction
Jacob Steinhardt and Percy Liang
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Reified Context Models
Jacob Steinhardt and Percy Liang
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm
Jacob Steinhardt and Percy Liang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Estimating Latent-Variable Graphical Models using Moments and Likelihoods
Arun T. Chaganty and Percy Liang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Filtering with Abstract Particles
Jacob Steinhardt and Percy Liang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Spectral Experts for Estimating Mixtures of Linear Regressions
Arun T. Chaganty and Percy Liang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang and Percy Liang
Advances in Neural Information Processing Systems 26, 2013


Identifiability and Unmixing of Latent Parse Trees
Percy Liang, Daniel J. Hsu and Sham M. Kakade
Advances in Neural Information Processing Systems 25, 2012


On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning
Percy Liang and Nati Srebro
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Programs: A Hierarchical Bayesian Approach
Percy Liang, Michael I. Jordan and Dan Klein
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning from measurements in exponential families
Percy Liang, Michael I. Jordan and Dan Klein
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Asymptotically Optimal Regularization in Smooth Parametric Models
Percy Liang, Guillaume Bouchard, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 22, 2009


An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Percy Liang and Michael I. Jordan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Structure compilation: trading structure for features
Percy Liang, Dan Klein and Hal Daume
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A permutation-augmented sampler for DP mixture models
Percy Liang, Michael I. Jordan and Ben Taskar
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A Probabilistic Approach to Language Change
Alexandre Bouchard-côté, Percy Liang, Dan Klein and Thomas L. Griffiths
Advances in Neural Information Processing Systems 20, 2007


Agreement-Based Learning
Percy Liang, Dan Klein and Michael I. Jordan
Advances in Neural Information Processing Systems 20, 2007