Probabilistic Modeling

Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length JMLR 2024 Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Identifiability of Product of Experts Models AISTATS 2024 Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NeurIPS 2024 Identification of mixtures of discrete product distributions in near-optimal sample and time complexity COLT 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Identifying Homogeneous and Interpretable Groups for Conformal Prediction UAI 2024 Idiographic Personality Gaussian Process for Psychological Assessment NeurIPS 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024 Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024 Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024 Interventional Causal Discovery in a Mixture of DAGs NeurIPS 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Label-wise Aleatoric and Epistemic Uncertainty Quantification UAI 2024 Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains UAI 2024 Learning multivariate temporal point processes via the time-change theorem AISTATS 2024 Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024 Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024 Lifting Architectural Constraints of Injective Flows ICLR 2024