← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts NIPS 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
A Tractable Inference Perspective of Offline RL NIPS 2024
Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization EACL 2024
Improved off-policy training of diffusion samplers NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NIPS 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NIPS 2024
Credal Learning Theory NIPS 2024
Poisson Variational Autoencoder NIPS 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NIPS 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation NIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024