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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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'25

Papers (including subtopics)

Photo Dating by Facial Age Aggregation WACV 2026
Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026
Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications ACL 2026
Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models ACL 2026
GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs ACL 2026
Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition ACL 2026
More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel MIDL 2026
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses ALT 2026
Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity ALT 2026
DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026
Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026
Relative Information Gain and Gaussian Process Regression ALT 2026
Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets ALT 2026
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping AAAI 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow AAAI 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks AAAI 2025
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation AAAI 2025