Bayesian Inference

Multilingual Factor Analysis ACL 2019 Multi-objective Bayesian optimisation with preferences over objectives NeurIPS 2019 Multi-objects Generation with Amortized Structural Regularization NeurIPS 2019 Multiscale Gaussian Process Level Set Estimation AISTATS 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NeurIPS 2019 Multi-View Stereo by Temporal Nonparametric Fusion ICCV 2019 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019 Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks IJCAI 2019 Neural Empirical Bayes JMLR 2019 Neural Gaussian Copula for Variational Autoencoder EMNLP 2019 Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019 Neural Topic Model with Reinforcement Learning EMNLP 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ICML 2019 Nonparametric Bayesian Aggregation for Massive Data JMLR 2019 Nonparametric Bayesian Deep Networks with Local Competition ICML 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NeurIPS 2019 On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019 On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 On Exact Computation with an Infinitely Wide Neural Net NeurIPS 2019 Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019