uncertainty quantification

Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023 Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NeurIPS 2023 URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates NeurIPS 2023 User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023 USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution UAI 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023 Variational Boosted Soft Trees AISTATS 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NeurIPS 2023 Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023 VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation ICLR 2023 Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023 What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023 What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization NeurIPS 2023 A Complete Characterisation of ReLU-Invariant Distributions AISTATS 2022 A Consistent and Differentiable Lp Canonical Calibration Error Estimator NeurIPS 2022 ActPerFL: Active Personalized Federated Learning ACL 2022 Adaptive Conformal Predictions for Time Series ICML 2022 Adaptive Multi-Goal Exploration AISTATS 2022 Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022 AK: Attentive Kernel for Information Gathering RSS 2022 Aligned Multi-Task Gaussian Process AISTATS 2022 A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity NeurIPS 2022 Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension ACL 2022 A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review JMLR 2022 Autoinverse: Uncertainty Aware Inversion of Neural Networks NeurIPS 2022