Bayesian & Probabilistic

Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NeurIPS 2022 Learning Tractable Probabilistic Models from Inconsistent Local Estimates NeurIPS 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022 Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits NeurIPS 2022 Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes PGM 2022 Linearizing contextual bandits with latent state dynamics UAI 2022 Local Differential Privacy for Belief Functions AAAI 2022 Local-Global MCMC kernels: the best of both worlds NeurIPS 2022 Logical Credal Networks NeurIPS 2022 Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022 Lossless Compression with Probabilistic Circuits ICLR 2022 Map Induction: Compositional spatial submap learning for efficient exploration in novel environments ICLR 2022 Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022 Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022 Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022 Mesoscopic modeling of hidden spiking neurons NeurIPS 2022 MidasTouch: Monte-Carlo inference over distributions across sliding touch CoRL 2022 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NeurIPS 2022 Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022 Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects L4DC 2022 Model inclusion lattice of coloured Gaussian graphical models for paired data PGM 2022 Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field EMNLP 2022 Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022