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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026
Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference AAAI 2026
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026
Function-on-Function Bayesian Optimization AAAI 2026
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure AAAI 2026
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026
METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026
Impute Missing Entries with Uncertainty AAAI 2026
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026
Multi-view Learning via Trusted Pairwise Entity Energy AAAI 2026
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026
Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026
Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026
TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026
On the Robustness of Bandit Multiple Testing AAAI 2026
PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026
When Natural Strategies Meet Fuzziness and Resource-Bounded Actions AAAI 2026
A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026
Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026
More than Irrational: Modeling Belief-Biased Agents AAAI 2026
Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026