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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

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
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
Collaborative likelihood-ratio estimation over graphs JMLR 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health AAAI 2025
New Compilation Languages Based on Restricted Weak Decomposability AAAI 2025
Near-Optimality of Contrastive Divergence Algorithms NIPS 2024
Toward Conditional Distribution Calibration in Survival Prediction NIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024