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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)

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Efficient Variational Sequential Information Control AISTATS 2024
Big Learning Expectation Maximization AAAI 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
ROME: Robust Multi-Modal Density Estimator IJCAI 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Globally Convergent Variational Inference NIPS 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
Gradients of Functions of Large Matrices NIPS 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
What does guidance do? A fine-grained analysis in a simple setting NIPS 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NIPS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024