bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026

Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications AAAI 2026

Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026

Flow-Induced Diagonal Gaussian Processes AAAI 2026

Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026

Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026

CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026

Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026

LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks AAAI 2026

VOCAL: Visual Odometry via ContrAstive Learning WACV 2026

Consensus-Driven Active Model Selection ICCV 2025

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025

Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025

K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025

Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025

Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles ICCV 2025

ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction ICCV 2025

Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA EMNLP 2025

Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025