Bayesian Inference

Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization JMLR 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014 Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014 PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NeurIPS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NeurIPS 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Probabilistic Differential Dynamic Programming NeurIPS 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Probabilistic Partial Canonical Correlation Analysis ICML 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Projecting Markov Random Field Parameters for Fast Mixing NeurIPS 2014 Putting MRFs on a Tensor Train ICML 2014 Random Bayesian networks with bounded indegree AISTATS 2014 Real-time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera CVPR 2014 Rectangular Tiling Process ICML 2014 Region-based Particle Filter for Video Object Segmentation CVPR 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Robust Forward Algorithms via PAC-Bayes and Laplace Distributions AISTATS 2014 Robust Principal Component Analysis with Complex Noise ICML 2014 Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models ICML 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014