Bayesian Inference

A blind sparse deconvolution method for neural spike identification NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 An ideal observer model for identifying the reference frame of objects NeurIPS 2011 A rational model of causal inference with continuous causes NeurIPS 2011 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NeurIPS 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Bayesian Spike-Triggered Covariance Analysis NeurIPS 2011 Crowdclustering NeurIPS 2011 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NeurIPS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Inference in continuous-time change-point models NeurIPS 2011 Inferring spike-timing-dependent plasticity from spike train data NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Learning unbelievable probabilities NeurIPS 2011 MAP Inference for Bayesian Inverse Reinforcement Learning NeurIPS 2011