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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)

Gaussian Process Neural Additive Models AAAI 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
Stable Implementation of Probabilistic ODE Solvers JMLR 2024
A General Framework for the Analysis of Kernel-based Tests JMLR 2024
pgmpy: A Python Toolkit for Bayesian Networks JMLR 2024
Probabilistic Integral Circuits AISTATS 2024
Decomposing Constraint Networks for Calculating c-Representations AAAI 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness CVPR 2024
Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems JMLR 2024
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NIPS 2024
Bayesian-guided Label Mapping for Visual Reprogramming NIPS 2024
Explaining Mixtures of Sources in News Articles EMNLP 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024
Variational Delayed Policy Optimization NIPS 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Score Operator Newton transport AISTATS 2024
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024