Bayesian Inference

Thompson Sampling for Combinatorial Semi-Bandits ICML 2018 Tight Regret Bounds for Bayesian Optimization in One Dimension ICML 2018 Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies COLING 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 Tree-based Bayesian Mixture Model for Competing Risks AISTATS 2018 Turing: A Language for Flexible Probabilistic Inference AISTATS 2018 Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018 Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018 Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound NeurIPS 2018 Using Large Ensembles of Control Variates for Variational Inference NeurIPS 2018 Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling IJCAI 2018 Variational Bayesian dropout: pitfalls and fixes ICML 2018 Variational Bayesian Monte Carlo NeurIPS 2018 Variational Continual Learning ICLR 2018 Variational Fourier Features for Gaussian Processes JMLR 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018 Variational Inference based on Robust Divergences AISTATS 2018 Variational inference for the multi-armed contextual bandit AISTATS 2018 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Variational Learning on Aggregate Outputs with Gaussian Processes NeurIPS 2018 Variational Network Inference: Strong and Stable with Concrete Support ICML 2018 Variational Network Quantization ICLR 2018 Variational Rejection Sampling AISTATS 2018 Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018 Variational Sequential Monte Carlo AISTATS 2018