Overview

Conformal prediction uses examples held out for calibration to turn a model’s scores into prediction sets or intervals with finite-sample coverage guarantees, usually when calibration and future data are exchangeable. Split and full conformal methods are common foundations; variants such as conformalized quantile regression, Mondrian calibration, weighted conformal prediction, and adaptive conformal inference target efficiency, subgroup coverage, distribution shift, or streaming data. These methods are used for classification and regression as well as time-series forecasting, structured outputs, language-model abstention, and safety-critical decisions. A central challenge is that marginal coverage can hide failures for particular groups or difficult inputs, while methods that improve local reliability or handle shift often need more data or stronger assumptions and can produce larger prediction sets.

Latest papers

CardsList

364 papers45 papers in the last four weeks, down 10% on the four weeks before. 0.3% of all new papers.

  1. Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms

    Nov 1, 2026Jiarong Fan, Juhyun Park, Thi Phuong Thuy Vo +1Conformal PredictionLearning with Missing Data

  2. Spectral and Conformal: Neural Network Methods for Calibrated Trajectory Prediction and Control-Point Intervals

    Oct 30, 2026Jasmine Ratchford, Raffaele RomagnoliTrajectory InferenceProbabilistic Trajectory Prediction

  3. Know When the Equation Is Wrong: Structural Uncertainty for LLM-Guided Symbolic Regression under Extrapolation

    Oct 30, 2026Mostafa Cham, Bayu Adhi Tama, Jianwu WangSymbolic RegressionUncertainty Quantification

  4. Adaptive Uncertainty Quantification on Simplicial Complexes with Conformalized Simplicial Neural Networks

    Oct 30, 2026Lekun Wang, Jaidev Goel, Yulia R. Gel +1Uncertainty QuantificationSet-Valued Prediction

  5. Conformal Annotation with Randomized Expert Review: Application to Online Cell-Type Labeling

    Oct 29, 2026Xuhe Zhang, Zhi Huang, Ying JinHuman-in-the-Loop AnnotationConformal Prediction

  6. Conformal Predictive Distributions for Contextual Order Fulfillment Optimization

    Oct 27, 2026Tinghan Ye, Amira Hijazi, Pascal Van HentenryckSupply Chain OptimizationPredict-Then-Optimize

  7. Finite-Sample Optimal Conformal Prediction Sets under Covariate Shift

    Oct 27, 2026Zhongyang LiConformal PredictionCovariate Shift

  8. KEPT: Conformal Keepouts Kept in Planning for Enclosed-Space Navigation in Degraded Sensing

    Oct 27, 2026Eric Minwoo Kim, Jong-Kook KimSafe Robot NavigationIndoor Robot Navigation

  9. ConformalMOS: Uncertainty-Aware MOS Prediction with Conformal Intervals and Ordinal Modeling

    Oct 26, 2026Kehinde Elelu, Joshua E. Siegel, Mohammadali Saffary +3Speech Quality AssessmentTTS Evaluation

  10. Benchmarking uncertainty quantification for engineering regression under graded distribution shift

    Oct 26, 2026Ahmad Lawal, Rahim Pasbanigoloojeh, Asmau Lawal BilbisUncertainty QuantificationRegression Prediction Intervals

  11. Macro Mondrian Conformal Risk Control

    Oct 26, 2026Julien Combes, Jean-Francois Coeurjolly, Alexandre Dervill{é}Conformal Risk ControlConformal Prediction

  12. Valid Early Detection of Memorization in Diffusion Models

    Oct 25, 2026Yixiao Jing, Chia-Yu Hsu, Milad Hoseinpour +1Memorization in Generative ModelsSequential Hypothesis Testing

  13. Metric Conformal Prediction via the Conditional Expected Local Radius

    Oct 22, 2026Rui Qiu, Fang Yao, Zhou YuConformal PredictionConditional Distribution Estimation

  14. Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting

    Oct 19, 2026Songlin Du, Ling Luo, Uwe AickelinConformal PredictionAdaptive Conformal Inference

  15. Predicted Class Correction: Conformal Thresholds for Classes with No Calibration Data

    Oct 18, 2026One Octadion, Novanto Yudistira, Yuta NakashimaConformal PredictionGroup-Conditional Conformal Prediction

  16. What "Form'' of Uncertainty Does Conformal Prediction Quantify?

    Oct 17, 2026Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Rebekka Burkholz +1Conformal PredictionEpistemic Uncertainty

  17. CoCoNet: Convex Conformal Network for Multi-Dimensional Uncertainty Regions

    Oct 16, 2026Alireza Moradi, Thomas Bruys, Pascal Van Hentenryck +1Conformal PredictionSet-Valued Prediction

  18. Adaptive conformal prediction on the Grassmannian

    Oct 16, 2026Dimitrios Loukrezis, Zachary J. Grey, Dimitris G. GiovanisConformal PredictionRegression Prediction Intervals

  19. Information-Geometric Blind Spots of Conformal Test Martingales

    Oct 16, 2026Johan Hallberg SzabadváryDistribution Shift DetectionConformal Prediction

  20. Selection-Safe Conformal Early Exit: Distribution-Free Coverage under Adaptive Depth

    Oct 14, 2026Adria Binte Habib, Ibne Farabi ShihabConformal PredictionAdaptive Inference

  21. State-Matched Sequence Conformal Prediction

    Oct 14, 2026Ruihang Han, Li-Hsiang LinConformal PredictionProbabilistic Time Series Forecasting

  22. Conformalized Physics-Informed Weak Regression for Parameter Estimation in Epidemic Models

    Oct 13, 2026Allan Peter Engsig-KarupSpatial Epidemic ModelingParameter Estimation

  23. CoSMO: Conformal Semantic Mapping for Open-World Safe Robot Navigation

    Oct 13, 2026Shuqi Wang, Yiwei Zheng, Pingrui Zhang +2Safe Robot NavigationConformal Prediction

  24. CALM-5G: Event-Level Conformal Risk Control for Predictive Service-Assurance Alarms

    Oct 13, 2026Ömer Faruk İşcanlı, Yağmur Sabucu SandalOnline CalibrationConformal Risk Control

  25. Monitoring for Shifts at Unknown Times: Parameter-Free Conditional Conformal Martingales

    Oct 12, 2026Tuo Liu, Drew Prinster, Francesco OrabonaDistribution Shift DetectionChange-Point Detection

  26. SCOPE Before You Sample: Conformal Scores Guide Posterior Exploration for Fast and Calibrated Bayesian Predictive Inference

    Oct 12, 2026Zahra Moslemi, Ziyi Liang, Babak ShahbabaBayesian InferencePosterior Sampling

  27. Does the Explanation Drift Before the Guarantee? Label-Free Early Warning on Evolving Graphs

    Oct 12, 2026Tomasz Szandała, Damian RaczkowskiDistribution Shift DetectionGNN Explainability