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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Logistic Regression Under Network Dependence JMLR 2024
Poisson Variational Autoencoder NIPS 2024
A Tractable Inference Perspective of Offline RL NIPS 2024
A probability contrastive learning framework for 3D molecular representation learning NIPS 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Qualitative Mechanism Independence NIPS 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation NIPS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo 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
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024