Bayesian Inference

Expectation Propagation for Rectified Linear Poisson Regression ACML 2015 Exponential Integration for Hamiltonian Monte Carlo ICML 2015 Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NeurIPS 2015 Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 Higher-Order Inference for Multi-Class Log-Supermodular Models ICCV 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior ICCV 2015 Image Segmentation in Twenty Questions CVPR 2015 Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015 Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs ICML 2015 IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation RSS 2015 Inference for determinantal point processes without spectral knowledge NeurIPS 2015 Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015 Infinite Factorial Dynamical Model NeurIPS 2015 Joint Probabilistic Data Association Revisited ICCV 2015 JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes ICML 2015 Just Noticeable Differences in Visual Attributes ICCV 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015