bayesian inference

Domain constraints improve risk prediction when outcome data is missing ICLR 2024 Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data NeurIPS 2024 Dynamic Knowledge Injection for AIXI Agents AAAI 2024 Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024 Estimating Epistemic and Aleatoric Uncertainty with a Single Model NeurIPS 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024 Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024 FedFisher: Leveraging Fisher Information for One-Shot Federated Learning AISTATS 2024 FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NeurIPS 2024 Fixed Confidence Best Arm Identification in the Bayesian Setting NeurIPS 2024 Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity AISTATS 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ICLR 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 General bounds on the quality of Bayesian coresets NeurIPS 2024 Generation of Visual Representations for Multi-Modal Mathematical Knowledge AAAI 2024 Graphical Multioutput Gaussian Process with Attention ICLR 2024 Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NeurIPS 2024