Bayesian & Probabilistic

FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012 Flexible Martingale Priors for Deep Hierarchies AISTATS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 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 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Inference on networks of mixtures for robust robot mapping RSS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features 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 curves for multi-task Gaussian process regression 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