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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation AAAI 2025
Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A ACL 2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval EMNLP 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025
Differentially Private Multivariate Medians JMLR 2025
Bayesian Score Calibration for Approximate Models JMLR 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
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025
Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 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
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025
Adaptive Deep Learning from Crowds IJCAI 2025
Circuit-Aware d-DNNF Compilation IJCAI 2025
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow AAAI 2025
Towards a Bayesian hierarchical model of lexical processing NAACL 2025
Fairness-Aware Estimation of Graphical Models NIPS 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Near-Optimality of Contrastive Divergence Algorithms NIPS 2024
Toward Conditional Distribution Calibration in Survival Prediction NIPS 2024