Bayesian Inference

A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018 A Reduction for Efficient LDA Topic Reconstruction NeurIPS 2018 A Scalable Laplace Approximation for Neural Networks ICLR 2018 Assessing Quality Estimation Models for Sentence-Level Prediction COLING 2018 A Stein variational Newton method NeurIPS 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018 Asymptotic optimality of adaptive importance sampling NeurIPS 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NeurIPS 2018 Auto-Encoding Sequential Monte Carlo ICLR 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018 Bandit Learning with Implicit Feedback NeurIPS 2018 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018 Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018 Batch Normalized Deep Boltzmann Machines ACML 2018 Bayesian Alignments of Warped Multi-Output Gaussian Processes NeurIPS 2018 Bayesian Approaches to Distribution Regression AISTATS 2018 Bayesian Compression for Natural Language Processing EMNLP 2018 Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018 Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent ICML 2018 Bayesian Distributed Stochastic Gradient Descent NeurIPS 2018 Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CoRL 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018