{"total":55,"rows":[{"id":"2106.00170","title":"Adaptive Conformal Inference Under Distribution Shift","created":"2021-06-01","cited_by_count":375,"area":null},{"id":"2104.08279","title":"Testing for Outliers with Conformal p-values","created":"2021-04-16","cited_by_count":134,"area":null},{"id":"2105.08747","title":"Conformal Prediction using Conditional Histograms","created":"2021-05-18","cited_by_count":77,"area":null},{"id":"2102.08898","title":"Few-shot Conformal Prediction with Auxiliary Tasks","created":"2021-02-17","cited_by_count":53,"area":null},{"id":"2110.00816","title":"Calibrated Multiple-Output Quantile Regression with Representation Learning","created":"2021-10-02","cited_by_count":50,"area":null},{"id":"2105.11982","title":"Quantifying Uncertainty in Deep Spatiotemporal Forecasting","created":"2021-05-25","cited_by_count":48,"area":null},{"id":"2106.00394","title":"Improving Conditional Coverage via Orthogonal Quantile Regression","created":"2021-06-01","cited_by_count":48,"area":null},{"id":"2106.09848","title":"PAC Prediction Sets Under Covariate Shift","created":"2021-06-17","cited_by_count":45,"area":null},{"id":"2107.00363","title":"Valid prediction intervals for regression problems","created":"2021-07-01","cited_by_count":29,"area":null},{"id":"2212.03281","title":"Copula Conformal Prediction for Multi-step Time Series Forecasting","created":"2022-12-06","cited_by_count":29,"area":null},{"id":"2305.10124","title":"Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems","created":"2023-05-17","cited_by_count":28,"area":null},{"id":"2202.08756","title":"Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting","created":"2022-02-17","cited_by_count":27,"area":null},{"id":"2302.06322","title":"One-Shot Federated Conformal Prediction","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2406.07449","title":"Boosted Conformal Prediction Intervals","created":"2024-06-11","cited_by_count":27,"area":null},{"id":"2202.11091","title":"Efficient and Differentiable Conformal Prediction with General Function Classes","created":"2022-02-22","cited_by_count":26,"area":null},{"id":"2205.09940","title":"Conformal Prediction with Temporal Quantile Adjustments","created":"2022-05-20","cited_by_count":25,"area":null},{"id":"2307.16360","title":"Probabilistically robust conformal prediction","created":"2023-07-31","cited_by_count":25,"area":null},{"id":"2206.13092","title":"Split Localized Conformal Prediction","created":"2022-06-27","cited_by_count":23,"area":null},{"id":"2407.01794","title":"Probabilistic Conformal Prediction with Approximate Conditional Validity","created":"2024-07-01","cited_by_count":23,"area":null},{"id":"2103.00083","title":"Flexible Model Aggregation for Quantile Regression","created":"2021-02-26","cited_by_count":22,"area":null},{"id":"2208.11111","title":"Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers","created":"2022-08-23","cited_by_count":19,"area":null},{"id":"2306.08693","title":"Integrating Uncertainty Awareness into Conformalized Quantile Regression","created":"2023-06-14","cited_by_count":17,"area":null},{"id":"2502.16336","title":"Rectifying Conformity Scores for Better Conditional Coverage","created":"2025-02-22","cited_by_count":17,"area":null},{"id":"2102.13625","title":"Learning Prediction Intervals for Regression: Generalization and Calibration","created":"2021-02-26","cited_by_count":16,"area":null},{"id":"2303.10694","title":"Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis","created":"2023-03-19","cited_by_count":16,"area":null},{"id":"2303.12695","title":"Adaptive Conformal Prediction by Reweighting Nonconformity Score","created":"2023-03-22","cited_by_count":16,"area":null},{"id":"2405.16828","title":"Kernel-based Optimally Weighted Conformal Time-Series Prediction","created":"2024-05-27","cited_by_count":15,"area":null},{"id":"2306.07254","title":"On the Expected Size of Conformal Prediction Sets","created":"2023-06-12","cited_by_count":13,"area":null},{"id":"2107.11722","title":"Learning Risk-aware Costmaps for Traversability in Challenging Environments","created":"2021-07-25","cited_by_count":12,"area":null},{"id":"2405.16475","title":"Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models","created":"2024-05-26","cited_by_count":12,"area":null},{"id":"2102.06684","title":"DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting","created":"2021-02-12","cited_by_count":11,"area":null},{"id":"2209.03580","title":"Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey","created":"2022-09-08","cited_by_count":11,"area":null},{"id":"2407.10230","title":"Weighted Aggregation of Conformity Scores for Classification","created":"2024-07-14","cited_by_count":11,"area":null},{"id":"2407.14495","title":"Conformal Thresholded Intervals for Efficient Regression","created":"2024-07-19","cited_by_count":11,"area":null},{"id":"2106.05515","title":"Understanding the Under-Coverage Bias in Uncertainty Estimation","created":"2021-06-10","cited_by_count":10,"area":null},{"id":"2205.12940","title":"Conformal Prediction Intervals with Temporal Dependence","created":"2022-05-25","cited_by_count":9,"area":null},{"id":"2402.12683","title":"TorchCP: A Python Library for Conformal Prediction","created":"2024-02-20","cited_by_count":9,"area":null},{"id":"2310.03545","title":"Distribution-free risk assessment of regression-based machine learning algorithms","created":"2023-10-05","cited_by_count":6,"area":null},{"id":"2207.02808","title":"Improved conformalized quantile regression","created":"2022-07-06","cited_by_count":5,"area":null},{"id":"2210.10161","title":"Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction","created":"2022-10-18","cited_by_count":5,"area":null},{"id":"2211.15211","title":"What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems","created":"2022-11-28","cited_by_count":5,"area":null},{"id":"2304.06158","title":"Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision","created":"2023-04-12","cited_by_count":5,"area":null},{"id":"2601.02769","title":"Fast Conformal Prediction using Conditional Interquantile Intervals","created":"2026-01-06","cited_by_count":4,"area":null},{"id":"2310.02863","title":"Conformal Predictions for Longitudinal Data","created":"2023-10-04","cited_by_count":3,"area":null},{"id":"2307.15638","title":"TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images","created":"2023-07-28","cited_by_count":2,"area":null},{"id":"2203.03150","title":"On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing","created":"2022-03-07","cited_by_count":1,"area":null},{"id":"2207.14219","title":"A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting","created":"2022-07-28","cited_by_count":1,"area":null},{"id":"2505.21039","title":"Scalable and adaptive prediction bands with kernel sum-of-squares","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2110.05390","title":"Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching","created":"2021-10-11","cited_by_count":0,"area":null},{"id":"2110.08720","title":"Centroid Approximation for Bootstrap: Improving Particle Quality at Inference","created":"2021-10-17","cited_by_count":0,"area":null},{"id":"2305.12686","title":"Conformal Inference for Invariant Risk Minimization","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2406.06516","title":"Distribution-Free Predictive Inference under Unknown Temporal Drift","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2604.18492","title":"Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.01868","title":"Robust Conditional Conformal Prediction via Branched Normalizing Flow","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.16324","title":"Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval","created":"2026-05-05","cited_by_count":0,"area":null}],"next_cursor":null}