posterior inference

Probabilistic size-and-shape functional mixed models NeurIPS 2024 Random measure priors in Bayesian recovery from sketches JMLR 2024 Robust Inverse Graphics via Probabilistic Inference ICML 2024 RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024 Sample Efficient Bayesian Learning of Causal Graphs from Interventions NeurIPS 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NeurIPS 2023 Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023 Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference ICML 2023 Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023 Flat Seeking Bayesian Neural Networks NeurIPS 2023 Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023 Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023 Revisiting Structured Variational Autoencoders ICML 2023 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023 SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023 Stochastic Tree Ensembles for Estimating Heterogeneous Effects AISTATS 2023 Understanding The Robustness of Self-supervised Learning Through Topic Modeling ICLR 2023 A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022 Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022 Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022