Bayesian Inference

Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018 State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018 Statistical mechanics of low-rank tensor decomposition NeurIPS 2018 Stein Points ICML 2018 Stein Variational Gradient Descent as Moment Matching NeurIPS 2018 Stein Variational Gradient Descent Without Gradient ICML 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Stochastic Anytime Search for Bounding Marginal MAP IJCAI 2018 Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018 Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks ICLR 2018 Stochastic Variational Inference With Gradient Linearization CVPR 2018 Streamlining Variational Inference for Constraint Satisfaction Problems NeurIPS 2018 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 Structured Variationally Auto-encoded Optimization ICML 2018 Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018 Subband Weighting for Binaural Speech Source Localization Interspeech 2018 Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series AISTATS 2018 Tensor Regression Meets Gaussian Processes AISTATS 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The Kanerva Machine: A Generative Distributed Memory ICLR 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NeurIPS 2018 The Transfer of Human Trust in Robot Capabilities across Tasks RSS 2018 The Uncertainty Bellman Equation and Exploration ICML 2018