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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
Expected Probabilistic Hierarchies NIPS 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images NIPS 2024
GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
MMD-based Variable Importance for Distributional Random Forest AISTATS 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NIPS 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NIPS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Logistic Regression Under Network Dependence JMLR 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024