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posterior inference

138 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) bayesian nonparametrics (270) gaussian process (1200) uncertainty quantification (1393) gibbs sampling (201) mcmc sampling (70) generative model (2892) importance sampling (318)

Papers

Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026
Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025
Syntactic Control of Language Models by Posterior Inference ACL 2025
Seal Your Backdoor with Variational Defense ICCV 2025
Amortizing intractable inference in diffusion models for vision, language, and control NIPS 2024
A Bayesian Approach to Data Point Selection NIPS 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024
General bounds on the quality of Bayesian coresets NIPS 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NIPS 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024
Random measure priors in Bayesian recovery from sketches JMLR 2024
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data JMLR 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NIPS 2023
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023
Revisiting Structured Variational Autoencoders ICML 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference ICML 2023