bayesian inference

Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Leveraging Node Attributes for Incomplete Relational Data ICML 2017 Linear Time Computation of Moments in Sum-Product Networks NeurIPS 2017 Magnetic Hamiltonian Monte Carlo ICML 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 Modelling Representation Noise in Emotion Analysis using Gaussian Processes IJCNLP 2017 Most Probable Explanations for Probabilistic Database Queries IJCAI 2017 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Nonparametric Online Machine Learning with Kernels IJCAI 2017 Online Bayesian Passive-Aggressive Learning JMLR 2017 On Markov chain Monte Carlo methods for tall data JMLR 2017 On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Parallel Streaming Wasserstein Barycenters NeurIPS 2017 PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks CVPR 2017 Post-Inference Prior Swapping ICML 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probability Bounds for Overlapping Coalition Formation IJCAI 2017 Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach IJCAI 2017 Rational Distortions of Learners’ Linguistic Input CoNLL 2017