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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)

Coreset Markov chain Monte Carlo AISTATS 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024
Spatial meshing for general Bayesian multivariate models JMLR 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference NIPS 2024
Transformers Represent Belief State Geometry in their Residual Stream NIPS 2024
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy EMNLP 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI COLING 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
Testing exchangeability by pairwise betting AISTATS 2024
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid L4DC 2024
3D Gaussian Splatting as Markov Chain Monte Carlo NIPS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024