Bayesian Inference

Learning User Dependencies for Recommendation IJCAI 2017 Leveraging Node Attributes for Incomplete Relational Data ICML 2017 Linearly constrained Gaussian processes NeurIPS 2017 Linear Time Computation of Moments in Sum-Product Networks NeurIPS 2017 Local Bayesian Optimization of Motor Skills ICML 2017 Magnetic Hamiltonian Monte Carlo ICML 2017 Matting and Depth Recovery of Thin Structures Using a Focal Stack CVPR 2017 Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017 Measuring Sample Quality with Kernels ICML 2017 Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017 Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit NeurIPS 2017 Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017 Model evidence from nonequilibrium simulations NeurIPS 2017 Modeling Physicians' Utterances to Explore Diagnostic Decision-making IJCAI 2017 Most Probable Explanations for Probabilistic Database Queries IJCAI 2017 Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017 Multi-Information Source Optimization NeurIPS 2017 Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017 Multiple Clustering Views from Multiple Uncertain Experts ICML 2017 Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017 Multiresolution Kernel Approximation for Gaussian Process Regression NeurIPS 2017 Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces NeurIPS 2017 Multi-way Interacting Regression via Factorization Machines NeurIPS 2017 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Neural Expectation Maximization NeurIPS 2017