Co-occurring keywords · papers mentioning both
Papers
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
AAAI 2024
Conformal Prediction via Regression-as-Classification
ICLR 2024
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
CLeaR 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
AISTATS 2024
Generalized Fast Exact Conformalization
NeurIPS 2024
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
UAI 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression
AISTATS 2024
Multi-Source Conformal Inference Under Distribution Shift
ICML 2024
Normalizing Flows for Conformal Regression
UAI 2024
Not all distributional shifts are equal: Fine-grained robust conformal inference
ICML 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
NeurIPS 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
ICML 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
AAAI 2024
Self-Calibrating Conformal Prediction
NeurIPS 2024
Split Conformal Prediction and Non-Exchangeable Data
JMLR 2024
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
Conformalized matrix completion
NeurIPS 2023
Conformal Off-Policy Prediction
AISTATS 2023
Conformal Prediction with Missing Values
ICML 2023
Equal Opportunity of Coverage in Fair Regression
NeurIPS 2023
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
AISTATS 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
ICML 2023
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
AAAI 2023
Predictive Inference with Feature Conformal Prediction
ICLR 2023