Bayesian Inference

Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion EACL 2017 Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices EACL 2017 Neural Variational Inference and Learning in Undirected Graphical Models NeurIPS 2017 Noise-Blind Image Deblurring CVPR 2017 Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Nonparametrically Trained Probabilistic Linear Discriminant Analysis for i-Vector Speaker Verification Interspeech 2017 Nonparametric Online Machine Learning with Kernels IJCAI 2017 Non-parametric Structured Output Networks NeurIPS 2017 Non-Stationary Spectral Kernels NeurIPS 2017 On Kernelized Multi-armed Bandits ICML 2017 Online Bayesian Passive-Aggressive Learning JMLR 2017 Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling JMLR 2017 On Markov chain Monte Carlo methods for tall data JMLR 2017 On Perturbed Proximal Gradient Algorithms JMLR 2017 On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017 On the Model Shrinkage Effect of Gamma Process Edge Partition Models NeurIPS 2017 On the Sampling Problem for Kernel Quadrature ICML 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Open-World Probabilistic Databases: An Abridged Report IJCAI 2017 Optimal Feature Selection for Decision Robustness in Bayesian Networks IJCAI 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 Overcoming Catastrophic Forgetting by Incremental Moment Matching NeurIPS 2017 Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017 Parallel Streaming Wasserstein Barycenters NeurIPS 2017