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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
An Approximate Skolem Function Counter AAAI 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space AAAI 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Mutual Information Estimation via Normalizing Flows NIPS 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees AAAI 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024
CausalCite: A Causal Formulation of Paper Citations ACL 2024
Quasi-Bayes meets Vines NIPS 2024
Semiparametric Inference Using Fractional Posteriors JMLR 2023
Generative Semantic Segmentation CVPR 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction CVPR 2023
Integrating Random Effects in Deep Neural Networks JMLR 2023
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023
GFlowNet Foundations JMLR 2023
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity JMLR 2023
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023