Probabilistic Modeling

Block Neural Autoregressive Flow UAI 2019 BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation CVPR 2019 Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization NeurIPS 2019 Canonical Soft Time Warping ACML 2019 Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019 CompareLDA: A Topic Model for Document Comparison AAAI 2019 Comparing EM with GD in Mixture Models of Two Components UAI 2019 Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract) IJCAI 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019 Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019 Coordinated hippocampal-entorhinal replay as structural inference NeurIPS 2019 Copula Multi-label Learning NeurIPS 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Countdown Regression: Sharp and Calibrated Survival Predictions UAI 2019 Cross-sectional Learning of Extremal Dependence among Financial Assets NeurIPS 2019 Deep Convolutional Sum-Product Networks AAAI 2019 Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NeurIPS 2019 Differentially Private Community Detection in Attributed Social Networks ACML 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