posterior inference

HySeg: Learning Generative Priors for Structure-Aware Remote Sensing Segmentation CVPR 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments UAI 2026 Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025 Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo ICML 2025 Inverse problems with experiment-guided AlphaFold ICML 2025 Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems AISTATS 2025 Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models ICML 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 Seal Your Backdoor with Variational Defense ICCV 2025 Syntactic Control of Language Models by Posterior Inference ACL 2025 UnHiPPO: Uncertainty-aware Initialization for State Space Models ICML 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 Bayesian Pseudo-Coresets via Contrastive Divergence UAI 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 General bounds on the quality of Bayesian coresets NeurIPS 2024 Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data JMLR 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Learning to Explore for Stochastic Gradient MCMC ICML 2024 Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024 Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance UAI 2024