bayesian inference

Probability Paths and the Structure of Predictions over Time NeurIPS 2021 Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning ICCV 2021 Proceedings of the thirty-seventh conference on Uncertainty in Artificial Intelligence — Preface UAI 2021 Pseudo-Marginal Hamiltonian Monte Carlo JMLR 2021 q-Paths: Generalizing the geometric annealing path using power means UAI 2021 Quantifying Contextual Aspects of Inter-annotator Agreement in Intertextuality Research EMNLP 2021 Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NeurIPS 2021 Repulsive Deep Ensembles are Bayesian NeurIPS 2021 RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021 Robust Generalization despite Distribution Shift via Minimum Discriminating Information NeurIPS 2021 RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data EMNLP 2021 Sampling with Trusthworthy Constraints: A Variational Gradient Framework NeurIPS 2021 Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NeurIPS 2021 Scalable Bayesian Inverse Reinforcement Learning ICLR 2021 Scalable gradient matching based on state space Gaussian Processes ACML 2021 Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NeurIPS 2021 Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning ICML 2021 Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021 SGLB: Stochastic Gradient Langevin Boosting ICML 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021 Slice Sampling Reparameterization Gradients NeurIPS 2021 SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021 Soft Tensor Regression JMLR 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NeurIPS 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021