Probabilistic Modeling

Gaussian Processes for time-marked time-series data AISTATS 2012 GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Hierarchical spike coding of sound NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012 Kernel Topic Models AISTATS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Learning Label Trees for Probabilistic Modelling of Implicit Feedback NeurIPS 2012 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Near-Optimal MAP Inference for Determinantal Point Processes NeurIPS 2012 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012