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Probabilistic Modeling

2591 directly classified papers

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Papers

Gaussian Process Neural Additive Models AAAI 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations INTERSPEECH 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024
pgmpy: A Python Toolkit for Bayesian Networks JMLR 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Trusted Multi-view Learning with Label Noise IJCAI 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024
Streaming Bayes GFlowNets NIPS 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024
Evaluating Topic Model on Asymmetric and Multi-Domain Financial Corpus COLING 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024