Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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273
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2000
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Papers (including subtopics)
Probabilistic Factorial Experimental Design for Combinatorial Interventions
ICML 2025
Probabilistic Geometric Principal Component Analysis with application to neural data
ICLR 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
UAI 2025
Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution
ICLR 2025
Probabilistic Multimodal Learning with von Mises-Fisher Distributions
IJCAI 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
UAI 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
EMNLP 2025
Probabilistic Strategy Logic with Degrees of Observability
AAAI 2025
Probably Approximately Global Robustness Certification
ICML 2025
ProbMED: A Probabilistic Framework for Medical Multimodal Binding
ICCV 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
CVPR 2025
Protein Language Model Fitness is a Matter of Preference
ICLR 2025
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
ICLR 2025
Provable weak-to-strong generalization via benign overfitting
ICLR 2025
Proximal Interacting Particle Langevin Algorithms
UAI 2025
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework
AAAI 2025
Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
EMNLP 2025
Quantile Regression with Large Language Models for Price Prediction
ACL 2025
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
AAAI 2025
Quantum Speedups for Bayesian Network Structure Learning
UAI 2025
Random-Set Neural Networks
ICLR 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
ICLR 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
EMNLP 2025
Reasoning over Uncertain Text by Generative Large Language Models
AAAI 2025