Bayesian & Probabilistic

Picture: A Probabilistic Programming Language for Scene Perception CVPR 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Label Relation Graphs With Ising Models ICCV 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Pushing Forward Marginal MAP with Best-First Search IJCAI 2015 rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos RSS 2015 Reactive bandits with attitude AISTATS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Reified Context Models ICML 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization NeurIPS 2015 Safe Exploration for Optimization with Gaussian Processes ICML 2015 Sampling from Probabilistic Submodular Models NeurIPS 2015 Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NeurIPS 2015 Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 Scalable Variational Inference in Log-supermodular Models ICML 2015 Segregated Graphs and Marginals of Chain Graph Models NeurIPS 2015 Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis ICCV 2015 Softstar: Heuristic-Guided Probabilistic Inference NeurIPS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Stochastic Expectation Propagation NeurIPS 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NeurIPS 2015