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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Sampling from the Mean-Field Stationary Distribution COLT 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Probabilistic Neural Circuits AAAI 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024
Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows NAACL 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors EACL 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024
Simulation-Based Stacking AISTATS 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024