Bayesian Inference

Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NeurIPS 2015 Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NeurIPS 2015 Image Segmentation in Twenty Questions CVPR 2015 Infinite Factorial Dynamical Model NeurIPS 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Latent Bayesian melding for integrating individual and population models NeurIPS 2015 Learning spatiotemporal trajectories from manifold-valued longitudinal data NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 Measuring Sample Quality with Stein's Method NeurIPS 2015 Nested Sequential Monte Carlo Methods ICML 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 On-the-Job Learning with Bayesian Decision Theory NeurIPS 2015 Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NeurIPS 2015 Parallelizing MCMC with Random Partition Trees NeurIPS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NeurIPS 2015 Stochastic Expectation Propagation NeurIPS 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NeurIPS 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 The Poisson Gamma Belief Network NeurIPS 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015