Bayesian Learning

Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019 LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition Interspeech 2019 Locally Private Bayesian Inference for Count Models ICML 2019 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019 LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019 Maximum a posteriori Speech Enhancement Based on Double Spectrum Interspeech 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NeurIPS 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Mutually Regressive Point Processes NeurIPS 2019 Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019 Nonparametric Bayesian Aggregation for Massive Data JMLR 2019 Nonparametric Bayesian Deep Networks with Local Competition ICML 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 Online Probabilistic Goal Recognition over Nominal Models IJCAI 2019 On the Performance of Thompson Sampling on Logistic Bandits COLT 2019 OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models IJCAI 2019 Particle Flow Bayes’ Rule ICML 2019 Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL 2019 Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019 Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019 Pseudo-Extended Markov chain Monte Carlo NeurIPS 2019 Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019 Rao-Blackwellized Stochastic Gradients for Discrete Distributions ICML 2019