Bayesian & Probabilistic

Priors over Recurrent Continuous Time Processes NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011 Probabilistic Joint Image Segmentation and Labeling NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Kernel Beta Process NeurIPS 2011