conformal prediction

Conformal Prediction with Learned Features ICML 2024 Conformal Risk Control ICLR 2024 Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) ICML 2024 Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets NeurIPS 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Copula Conformal prediction for multi-step time series prediction ICLR 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 Data Poisoning Attacks against Conformal Prediction ICML 2024 Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction EMNLP 2024 Early-Exit Neural Networks with Nested Prediction Sets UAI 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficient Online Set-valued Classification with Bandit Feedback ICML 2024 End-to-end Conditional Robust Optimization UAI 2024 Explore until Confident: Efficient Exploration for Embodied Question Answering RSS 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Fast yet Safe: Early-Exiting with Risk Control NeurIPS 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing UAI 2024 Identifying Homogeneous and Interpretable Groups for Conformal Prediction UAI 2024 Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024 Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity NeurIPS 2024 Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms CVPR 2024 Label Noise Robustness of Conformal Prediction JMLR 2024