Bayesian & Probabilistic

An Application of Tree-Structured Expectation Propagation for Channel Decoding NeurIPS 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 An ideal observer model for identifying the reference frame of objects NeurIPS 2011 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011 Approximate inference for the loss-calibrated Bayesian AISTATS 2011 A rational model of causal inference with continuous causes NeurIPS 2011 Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NeurIPS 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Bayesian Generalized Kernel Mixed Models JMLR 2011 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Bayesian Spike-Triggered Covariance Analysis NeurIPS 2011 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011 Collective Graphical Models NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011 Confidence Sets for Network Structure NeurIPS 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011 Convergence Rates of Efficient Global Optimization Algorithms JMLR 2011 Crowdclustering NeurIPS 2011 Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011