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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NIPS 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024
Near-Optimality of Contrastive Divergence Algorithms NIPS 2024
Uncertainty Resolution in Misinformation Detection EACL 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization EACL 2024
Linguistic Obfuscation Attacks and Large Language Model Uncertainty EACL 2024
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
Uncertainty Regularized Evidential Regression AAAI 2024
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images NIPS 2024
LINGO-Space: Language-Conditioned Incremental Grounding for Space AAAI 2024
Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024
Active Learning Guided by Efficient Surrogate Learners AAAI 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024