bayesian model averaging

Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning CVPR 2026 CBMA: Improving Conformal Prediction through Bayesian Model Averaging ICLR 2025 Do Deep Neural Network Solutions Form a Star Domain? ICLR 2025 Flat Posterior Does Matter For Bayesian Model Averaging UAI 2025 In-Context Learning as Conditioned Associative Memory Retrieval ICML 2025 What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization AISTATS 2025 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022 Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency CVPR 2022 Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021 Dangers of Bayesian Model Averaging under Covariate Shift NeurIPS 2021 Loss function based second-order Jensen inequality and its application to particle variational inference NeurIPS 2021 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NeurIPS 2020 Learning under Model Misspecification: Applications to Variational and Ensemble methods NeurIPS 2020 MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models UAI 2020 Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016 Skip Context Tree Switching ICML 2014 Bayesian Classifier Combination AISTATS 2012 Bayesian Generalized Kernel Models AISTATS 2010 Learning Instance-Specific Predictive Models JMLR 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007