bayesian inference

Expectation Particle Belief Propagation NeurIPS 2015 Expectation Propagation for Rectified Linear Poisson Regression ACML 2015 Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM AISTATS 2015 Exponential Integration for Hamiltonian Monte Carlo ICML 2015 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 Harmonic Exponential Families on Manifolds ICML 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 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Learning The Structure of Deep Convolutional Networks ICCV 2015 Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection ICCV 2015 Nested Sequential Monte Carlo Methods ICML 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NeurIPS 2015 Parallelizing MCMC with Random Partition Trees NeurIPS 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters CVPR 2015