Probabilistic Modeling

Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024 EM for Mixture of Linear Regression with Clustered Data AISTATS 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Enhancing Bayesian Networks with Psychometric Models PGM 2024 Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024 Expected Probabilistic Hierarchies NeurIPS 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 Fast Interactive Search under a Scale-Free Comparison Oracle UAI 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NeurIPS 2024 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024 GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024