bayesian inference

Priors over Recurrent Continuous Time Processes NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The Indian Buffet Process: An Introduction and Review JMLR 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 A Bayesian Framework for Figure-Ground Interpretation NeurIPS 2010 Active Sequential Learning with Tactile Feedback AISTATS 2010 A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010 A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 A rational decision making framework for inhibitory control NeurIPS 2010 Bayesian Action-Graph Games NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010 Copula Processes NeurIPS 2010