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bayesian inference

2,116 papers

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BI

Co-occurring keywords · papers mentioning both

variational inference (359) markov chain monte carlo (263) gaussian process (203) uncertainty quantification (170) probabilistic modeling (152) posterior distribution (134) bayesian learning (67) gibbs sampling (63) neural network (63) graphical model (62)

Papers

Test-time Adaptation for Image Compression with Distribution Regularization ICLR 2025 The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities ICLR 2025 Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models ACL 2025 Thesis Proposal: Uncertainty in Knowledge Graph Embeddings NAACL 2025 TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data AAAI 2025 Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions AISTATS 2025 TRADE: Transfer of Distributions between External Conditions with Normalizing Flows AISTATS 2025 Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Uncertainty-Aware Decoding with Minimum Bayes Risk ICLR 2025 Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025 Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025 Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix AISTATS 2025 Variational Learning of Fractional Posteriors ICML 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution EMNLP 2024 A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 Accelerating Convergence in Bayesian Few-Shot Classification ICML 2024 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NeurIPS 2024 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024 A Generalized Bayesian Approach to Distribution-on-Distribution Regression UAI 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024