bayesian inference

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NeurIPS 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective ICML 2024 Kalman Filter for Online Classification of Non-Stationary Data ICLR 2024 Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language NeurIPS 2024 Low Degree Hardness for Broadcasting on Trees NeurIPS 2024 MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation ICML 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 MAP- and MLE-Based Teaching JMLR 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024 Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024 MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations UAI 2024 Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 Modeling Random Networks with Heterogeneous Reciprocity JMLR 2024 Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. ICLR 2024