Probabilistic Modeling

Probabilistic Shape Models of Anatomy Directly from Images AAAI 2023 Probabilistic Symmetry for Multi-Agent Dynamics L4DC 2023 Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation ACL 2023 Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation ICCV 2023 Probabilistic Volumetric Fusion for Dense Monocular SLAM WACV 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Probably Approximate Shapley Fairness with Applications in Machine Learning AAAI 2023 ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models ICCV 2023 Proper Scoring Rules for Survival Analysis ICML 2023 Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval NeurIPS 2023 Provable convergence guarantees for black-box variational inference NeurIPS 2023 Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 Recurrent Neural Networks and Universal Approximation of Bayesian Filters AISTATS 2023 Reinforcement Causal Structure Learning on Order Graph AAAI 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023 Revisiting Structured Variational Autoencoders ICML 2023 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023 Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023 Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NeurIPS 2023 Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing CoRL 2023 Scaling integer arithmetic in probabilistic programs UAI 2023 Scaling Up Probabilistic Circuits by Latent Variable Distillation ICLR 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023