hierarchical bayesian model

Hierarchical Causal Models JMLR 2026 TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023 ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models ICLR 2022 Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022 Deep Hierarchy in Bandits ICML 2022 Hierarchical Bayesian Bandits AISTATS 2022 Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021 Fine-Grained Zero-Shot Learning with DNA as Side Information NeurIPS 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021 Improved Shrinkage Prediction under a Spiked Covariance Structure JMLR 2021 Bidirectional Convolutional Poisson Gamma Dynamical Systems NeurIPS 2020 Causal Inference using Gaussian Processes with Structured Latent Confounders ICML 2020 Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure ICLR 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes ICLR 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 Canopy Fast Sampling with Cover Trees ICML 2017 Hierarchical Implicit Models and Likelihood-Free Variational Inference NeurIPS 2017 A Probabilistic Programming Approach To Probabilistic Data Analysis NeurIPS 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016