posterior estimation

A Meta-Learning Approach to Bayesian Causal Discovery ICLR 2025 Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025 Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens ICML 2025 Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NeurIPS 2024 Bayesian Online Learning for Consensus Prediction AISTATS 2024 Consistency Models for Scalable and Fast Simulation-Based Inference NeurIPS 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Globally Convergent Variational Inference NeurIPS 2024 On Truthing Issues in Supervised Classification JMLR 2024 Preferential Normalizing Flows NeurIPS 2024 Simulation-Based Inference with Quantile Regression ICML 2024 SLiM: Speculative Decoding with Hypothesis Reduction NAACL 2024 Sound Event Bounding Boxes Interspeech 2024 Unrolled denoising networks provably learn to perform optimal Bayesian inference NeurIPS 2024 Using Autodiff to Estimate Posterior Moments, Marginals and Samples UAI 2024 Bayesian Estimation of Differential Privacy ICML 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation ICLR 2023 Flow Matching for Scalable Simulation-Based Inference NeurIPS 2023 Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning AAAI 2023 Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022 Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How ICLR 2022 Group equivariant neural posterior estimation ICLR 2022