Bayesian Inference

Understanding Stochastic Natural Gradient Variational Inference ICML 2024 Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks ICLR 2024 Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations ICML 2024 Unrolled denoising networks provably learn to perform optimal Bayesian inference NeurIPS 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling IJCAI 2024 UQ-Guided Hyperparameter Optimization for Iterative Learners NeurIPS 2024 Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers ICML 2024 Using AI Uncertainty Quantification to Improve Human Decision-Making ICML 2024 Value-Distributional Model-Based Reinforcement Learning JMLR 2024 ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation ICLR 2024 Vanilla Bayesian Optimization Performs Great in High Dimensions ICML 2024 Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions ICLR 2024 Variational Bayesian Last Layers ICLR 2024 Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks JMLR 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference ICML 2024 Variational Learning is Effective for Large Deep Networks ICML 2024 Variational Linearized Laplace Approximation for Bayesian Deep Learning ICML 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts ICML 2024 Variational Resampling AISTATS 2024 VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition ICLR 2024 Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024