Bayesian & Probabilistic

Optimal aggregation of affine estimators COLT 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 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 Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation 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