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Probabilistic Modeling

2591 directly classified papers

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Streaming Bayes GFlowNets NIPS 2024
Modelling Variability in Human Annotator Simulation ACL 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NIPS 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NIPS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023
Bayesian Estimation of Differential Privacy ICML 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023
Probabilistic Imputation for Time-series Classification with Missing Data ICML 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023