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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025
Structural Entropy Guided Probabilistic Coding AAAI 2025
Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025
Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025
Relational Neurosymbolic Markov Models AAAI 2025
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks AAAI 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
A Bayesian account of pronoun and neopronoun acquisition NAACL 2025
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025
Accounting for Sycophancy in Language Model Uncertainty Estimation NAACL 2025
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping AAAI 2025
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025
Backward Filtering Forward Guiding JMLR 2025
Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025