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bayesian inference

1904 papers

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BI

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

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026
Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026
Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory AAAI 2026
CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026
LR-AdaInSeg:Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks AAAI 2026
Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026
Fair Bayesian Data Selection via Generalized Discrepancy Measures 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
VOCAL: Visual Odometry via ContrAstive Learning WACV 2026
Flow-Induced Diagonal Gaussian Processes AAAI 2026
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026
Surprise Calibration for Better In-Context Learning EMNLP 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025
Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data AAAI 2025
GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models EMNLP 2025
Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025