uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NIPS 2023

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation NIPS 2023

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023

Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NIPS 2023

Learning Physical Models that Can Respect Conservation Laws ICML 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NIPS 2023

Probabilistic Concept Bottleneck Models ICML 2023

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery ICML 2023

Conformal Prediction Sets for Ordinal Classification NIPS 2023

Variational Boosted Soft Trees AISTATS 2023

Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023

ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023

On Second-Order Scoring Rules for Epistemic Uncertainty Quantification ICML 2023

Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023

Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023

JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023

Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023

Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023

Model-Based Uncertainty in Value Functions AISTATS 2023

Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023

Bayesian Federated Learning: A Survey IJCAI 2023

3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation ICCV 2023

Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023

Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023