Bayesian Inference

Hierarchical CVAE for Fine-Grained Hate Speech Classification EMNLP 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018 High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018 HOGWILD!-Gibbs can be PanAccurate NeurIPS 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Implicit Causal Models for Genome-wide Association Studies ICLR 2018 Implicit Probabilistic Integrators for ODEs NeurIPS 2018 Implicit Reparameterization Gradients NeurIPS 2018 Importance Weighting and Variational Inference NeurIPS 2018 Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018 Improving Explorability in Variational Inference with Annealed Variational Objectives NeurIPS 2018 Including Uncertainty when Learning from Human Corrections CoRL 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Information Constraints on Auto-Encoding Variational Bayes NeurIPS 2018 Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018 Instance-Specific Bayesian Network Structure Learning PGM 2018 Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis AISTATS 2018 Interactive Optimal Teaching with Unknown Learners IJCAI 2018 Iterative Amortized Inference ICML 2018 Kernel Implicit Variational Inference ICLR 2018 Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018 Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 Lattice-free State-level Minimum Bayes Risk Training of Acoustic Models Interspeech 2018 Learning Bayesian Networks by Branching on Constraints PGM 2018