Probabilistic Modeling

Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019 Predicate Exchange: Inference with Declarative Knowledge ICML 2019 Probabilistic Alternating-Time µ-Calculus AAAI 2019 Probabilistic Deep Ordinal Regression Based on Gaussian Processes ICCV 2019 Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces AAAI 2019 Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019 Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks RSS 2019 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning ICLR 2019 Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models AISTATS 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 2019 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules EMNLP 2019 Pyro: Deep Universal Probabilistic Programming JMLR 2019 Random Function Priors for Correlation Modeling ICML 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 Recovering Bandits NeurIPS 2019 Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019 Replica Conditional Sequential Monte Carlo ICML 2019 Reversible Jump Probabilistic Programming AISTATS 2019 Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties RSS 2019 Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise JMLR 2019 Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019 Robust Variational Bayesian Point Set Registration ICCV 2019