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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

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9
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168
460
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2000
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Papers (including subtopics)

Optimal score estimation via empirical Bayes smoothing COLT 2024 Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024 Parsing neural dynamics with infinite recurrent switching linear dynamical systems ICLR 2024 Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness RSS 2024 Particle Semi-Implicit Variational Inference NeurIPS 2024 PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness CVPR 2024 Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models UAI 2024 Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024 pgmpy: A Python Toolkit for Bayesian Networks JMLR 2024 PhyloGFN: Phylogenetic inference with generative flow networks ICLR 2024 Physics and Lie symmetry informed Gaussian processes ICML 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 Physics-Informed Variational State-Space Gaussian Processes NeurIPS 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models ICLR 2024 Poisson Variational Autoencoder NeurIPS 2024 Polynomial Semantics of Tractable Probabilistic Circuits UAI 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 Position: Understanding LLMs Requires More Than Statistical Generalization ICML 2024 Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance UAI 2024 Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice NeurIPS 2024 Preferential Normalizing Flows NeurIPS 2024