Bayesian Inference

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NeurIPS 2024 Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NeurIPS 2024 Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024 Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NeurIPS 2024 High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling ICML 2024 How to Train the Teacher Model for Effective Knowledge Distillation ECCV 2024 HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024 Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024 Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach ICML 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Image Inpainting via Tractable Steering of Diffusion Models ICLR 2024 Implicit Gaussian process representation of vector fields over arbitrary latent manifolds ICLR 2024 Implicit Maximum a Posteriori Filtering via Adaptive Optimization ICLR 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NeurIPS 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials ICML 2024 Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance ICML 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Improving Gradient-Guided Nested Sampling for Posterior Inference ICML 2024 Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation ICML 2024 Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NeurIPS 2024