Skip to content
conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

Papers per year

1
9
127
168
460
385
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy COLT 2025 On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025 On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025 On the Statistical Mechanisms of Distributional Compositional Generalization ICML 2025 On Tractability of Learning Bayesian Networks with Ancestral Constraints AISTATS 2025 Optimal Transport for Probabilistic Circuits UAI 2025 Ordered V-information Growth: A Fresh Perspective on Shared Information AISTATS 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Paths and Ambient Spaces in Neural Loss Landscapes AISTATS 2025 Physics-informed Gaussian Processes as Linear Model Predictive Controller L4DC 2025 Piecewise deterministic sampling with splitting schemes JMLR 2025 PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction ACL 2025 Poisoning Bayesian Inference via Data Deletion and Replication AISTATS 2025 Polynomial-Time Relational Probabilistic Inference in Open Universes IJCAI 2025 Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation ICLR 2025 Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning ICML 2025 Position: Probabilistic Modelling is Sufficient for Causal Inference ICML 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 Posterior Mean Matching: Generative Modeling through Online Bayesian Inference AISTATS 2025 Privacy-Preserving Neural Processes for Probabilistic User Modeling UAI 2025 Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models ACL 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models UAI 2025