bayesian inference

A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 Accelerating ABC methods using Gaussian processes AISTATS 2014 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 A Framework for Testing Identifiability of Bayesian Models of Perception NeurIPS 2014 Agnostic Bayesian Learning of Ensembles ICML 2014 A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014 A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014 A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NeurIPS 2014 Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ICML 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Bayesian Active Appearance Models CVPR 2014 Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior CVPR 2014 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014 Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014