Papers
Automatic Domain Adaptation for Parsing
David McClosky, Eugene Charniak, Mark Johnson
Products of Random Latent Variable Grammars
Slav Petrov
Chart Mining-based Lexical Acquisition with Precision Grammars
Yi Zhang, Timothy Baldwin, Valia Kordoni et al.
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Ron Kaplan, Jill Burstein, Mary Harper et al.
Learning Non-Stationary Dynamic Bayesian Networks
Joshua W. Robinson, Alexander J. Hartemink
PAC-Bayesian Analysis of Co-clustering and Beyond
Yevgeny Seldin, Naftali Tishby
Incremental Sigmoid Belief Networks for Grammar Learning
James Henderson, Ivan Titov
Rate Minimaxity of the Lasso and Dantzig Selector for the Loss in Balls
Fei Ye, Cun-Hui Zhang
An Exponential Model for Infinite Rankings
Marina Meilă
Efficient Algorithms for Conditional Independence Inference
Remco Bouckaert, Raymond Hemmecke, Silvia Lindner et al.
-Nested Symmetric Distributions
Fabian Sinz, Matthias Bethge
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie et al.
Learning Instance-Specific Predictive Models
Shyam Visweswaran, Gregory F. Cooper
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
Classification with Incomplete Data Using Dirichlet Process Priors
Chunping Wang, Xuejun Liao, Lawrence Carin et al.
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Antti Honkela, Tapani Raiko, Mikael Kuusela et al.
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh et al.
A Generalized Path Integral Control Approach to Reinforcement Learning
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
Inducing Tree-Substitution Grammars
Trevor Cohn, Phil Blunsom, Sharon Goldwater
Covariance in Unsupervised Learning of Probabilistic Grammars
Shay B. Cohen, Noah A. Smith
Gaussian Processes for Machine Learning (GPML) Toolbox
Carl Edward Rasmussen, Hannes Nickisch
Semi-Supervised Novelty Detection
Gilles Blanchard, Gyemin Lee, Clayton Scott