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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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Papers (including subtopics)

Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NIPS 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization NIPS 2024
Poisson Variational Autoencoder NIPS 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NIPS 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Graph Neural Networks Do Not Always Oversmooth NIPS 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NIPS 2024
Gradients of Functions of Large Matrices NIPS 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Stochastic Concept Bottleneck Models NIPS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NIPS 2024
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NIPS 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
Variational Delayed Policy Optimization NIPS 2024
Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
Categorical Flow Matching on Statistical Manifolds NIPS 2024
Cascade of phase transitions in the training of energy-based models NIPS 2024