uncertainty quantification

R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Safe Multi-View Deep Classification AAAI 2023 Sampling-based inference for large linear models, with application to linearised Laplace ICLR 2023 Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NeurIPS 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023 Selectively Answering Ambiguous Questions EMNLP 2023 Semiparametric Inference Using Fractional Posteriors JMLR 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Sharp Calibrated Gaussian Processes NeurIPS 2023 Simple and Efficient Confidence Score for Grading Whole Slide Images MIDL 2023 Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems AISTATS 2023 Single Image Depth Prediction Made Better: A Multivariate Gaussian Take CVPR 2023 SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023 Sparse Deep Learning for Time Series Data: Theory and Applications NeurIPS 2023 Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification Interspeech 2023 Statistical Inference for Noisy Incomplete Binary Matrix JMLR 2023 Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NeurIPS 2023 Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data ICML 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023 T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023 Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks ICLR 2023 Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions AAAI 2023