Bayesian & Probabilistic

Copula Multi-label Learning NeurIPS 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Cost Effective Active Search NeurIPS 2019 Countdown Regression: Sharp and Calibrated Survival Predictions UAI 2019 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019 Cross-sectional Learning of Extremal Dependence among Financial Assets NeurIPS 2019 Deep Convolutional Sum-Product Networks AAAI 2019 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Deep learning with differential Gaussian process flows AISTATS 2019 Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 Dependency Grammar Induction with a Neural Variational Transition-Based Parser AAAI 2019 Dependent relevance determination for smooth and structured sparse regression JMLR 2019 Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NeurIPS 2019 Differentially Private Community Detection in Attributed Social Networks ACML 2019 Differentially Private Markov Chain Monte Carlo NeurIPS 2019 Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts AAAI 2019 Discriminative Topic Modeling with Logistic LDA NeurIPS 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Document Informed Neural Autoregressive Topic Models with Distributional Prior AAAI 2019 Domain-Size Aware Markov Logic Networks AISTATS 2019 Doubly Semi-Implicit Variational Inference AISTATS 2019 DPPy: DPP Sampling with Python JMLR 2019 Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019