Quantile Regression

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8 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Quantile Regression.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Quantile Regression.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Quantile Regression.

85 papers

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  1. Conformalized Quantile Regression and Minimax Limits of Fixed-Score Calibration under Known Covariate Shift

    Sep 21, 2026Rustam Isaev, Anton Conrad, Denis Belomestny +2Quantile RegressionCovariate Shift

  2. Multivariate quantile regression via Kolmogorov-Arnold Networks

    Sep 20, 2026Andrew Polar, Michael PoluektovKolmogorov-Arnold NetworksQuantile Regression

  3. Causal Discovery via Transformed Low-Rank Quantile Surfaces

    Sep 15, 2026Ryo Kamimura, Thong PhamQuantile RegressionStructural Causal Model

  4. Quantile-based Loss Filtering for Outlier-Robust Stochastic Gradient Descent

    Sep 14, 2026Jamie Haddock, Anna Ma, Elizaveta RebrovaStochastic Gradient DescentQuantile Regression

  5. Accountable and uncertainty-aware evaluation of sensor-based AI under distribution shift: devices, subjects, and nearly three years underground

    Sep 8, 2026Benny Platte, Rico Thomanek, Christian Roschke +1Evaluation ProtocolsDistribution Shifts

  6. Quantile-Led Feature Extraction for Multi-Horizon Predictive Maintenance in Industrial Manufacturing Systems

    Sep 7, 2026David J Poland, Daniele Ravi, Na HelianPredictive MaintenanceFeature Extraction

  7. A location-invariant estimator of extremal quantile treatment effects for heavy-tailed distributions

    Sep 3, 2026Xin Yu, Shuwei Huang, Jicheng Liu +4Heterogeneous Treatment EffectsQuantile Regression

  8. Occupancy-based Quantile Risk Control

    Sep 2, 2026Zihao Shi, Huajun Xi, Bingyi Jing +1Conformal Risk ControlQuantile Regression

  9. A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

    Aug 30, 2026Kehan Long, Yiqi Zhao, Pol Mestres +3Conformal PredictionReliable Uncertainty Quantification

  10. Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting

    Aug 12, 2026Junyi Ye, Ivy Gateri WanjikuWeight-Only QuantizationQuantization

  11. Long-Horizon Forecasting of Complete Financial Statements with Forma

    Aug 11, 2026Travis L. Johnson, Jiannan Jiang, Soumyabrata Chaudhuri +3Load ForecastingLong-Horizon Forecasting

  12. Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression

    Aug 8, 2026Xingdong Feng, Xinhong Jiang, Yuling Jiao +2Quantile RegressionSmoothing

  13. Conformal Calibration for Multi-Modal Regression with Missing Modalities

    Aug 7, 2026Ilia AziziMissing ModalitiesConformal Calibration

  14. Beyond Marginal Validity: Finite-Sample Guarantees for Localized Conformal Prediction

    Aug 6, 2026Anton Conrad, Rustam Isaev, Denis Belomestny +2Conformal PredictionFinite-Sample Coverage Guarantees

  15. CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives

    Aug 3, 2026Zifan Zhang, Zhichao Hou, Tingxiang Ji +1Multivariate Telemetry DataLong-Horizon Forecasting

  16. QQWorld: Quantile-Quantile Matching for World Model Regularization

    Jul 30, 2026Zhoushun Yu, Xiaoyu Hu, Xiangyu XuLatent World ModelsQuantile Regression

  17. ZAPs: A Reward Attribution Framework for DeFi Ecosystems with Adversarial-Robust Scoring via Parallel Anomaly Ensemble Detection

    Jul 30, 2026Girish G N, Ashutosh Sahoo, Ajay Bhat +4Decentralized FinanceFraud Detection

  18. Crossing-Free Probabilistic K-Line Forecasts Without Retraining

    Jul 29, 2026Runyao Yu, Yuchen Tao, Yujie Chen +2Quantile RegressionRetraining

  19. Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines

    Jul 28, 2026Laure Berti-EquilleData QualityQuantile Regression

  20. Automated ECG Interval Measurement and Wave Delineation Using Fast Fourier Convolution ResNet

    Jul 27, 2026Farhan Adam Mukadam, Harshit Mishra, Nachiket Makwana +3Pediatric-Adult Electrocardiogram AlignmentDelineation

  21. Beyond Local Inspection: Global, Guideline-Grounded Evaluation of Post-hoc XAI Methods for ECG Classification

    Jul 27, 2026Nils Gumpfer, Michael Guckert, Samuel Sossalla +2Electrocardiogram ClassificationXai

  22. Good Practice Guide for quantifying uncertainties for machine learning models applied to photoplethysmography signals

    Jul 22, 2026P. Harris, C. Bench, M. Rinkevičius +6Remote PhotoplethysmographyReliable Uncertainty Quantification

  23. PriorProof: A Point-in-Time Measure of Technique Novelty for Formal Proofs

    Jul 18, 2026Neel SomaniProofTheorem

  24. Parallel gradient boosting for flexible estimation of conditional distributions

    Jul 15, 2026Rémy Chapelle, Nicolas Vayatis, Bruno Falissard +1Quantile RegressionGradient Boosted Tree

  25. Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty

    Jul 14, 2026Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok JeonElectricity Price ForecastingQuantile Regression

  26. Bet on Features: Anytime-Valid and Feature-Aware Auditing of Conditional Quantile Forecasters

    Jul 13, 2026Ivane Antonov, Sohom Mukherjee, Richard Pibernik +1Quantile RegressionBetting

  27. Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning

    Jul 9, 2026Zijie Cheng, Yang Peng, Zhihua ZhangQuantile RegressionDistributional Learning

  28. On Pairwise Quantile Regression -- Statistical Guarantees and Applications

    Jul 5, 2026Romain Thérézien, Stephan Clémençon, Fantin Girard +1Quantile RegressionSpearman Correlation

  29. Sequential sparse Gaussian process quantile regression

    Jun 30, 2026Hugo Nicolas, Olivier Le MaîtreGaussian ProcessQuantile Regression

  30. Adaptive Iterative Hard Thresholding for Online High-dimensional Quantile Regression

    Jun 26, 2026Zitian Zhou, Nan LinQuantile RegressionLearning-Augmented Algorithms

  31. Uncertainty quantification via conformal prediction in data assimilation

    Jun 25, 2026Catherine George, Alireza Javanmardi, Tijana Janjić +1Conformal PredictionData Assimilation

  32. Efficient Analytic Uncertainty Quantification for Multi-Modal Regression

    Jun 23, 2026Kun Jin, James Harrison, Jiawei Li +8Reliable Uncertainty QuantificationQuantile Regression

  33. Distribution-Aware Robust Bilevel Optimization: Quantile-Guided Huber Updates in Two-Timescale Stochastic Approximation

    Jun 21, 2026Zhiyu Li, Xi Xuan, Davide CarboneBilevel OptimizationStochastic Approximation

  34. Quantile Adaptive Temperature Scaling for Confidence Calibration

    Jun 19, 2026Omprakash Chakraborty, Leo Fillioux, Ismail Ben Ayed +1Confidence CalibrationQuantile Regression

  35. Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning

    Jun 18, 2026Asaf Cassel, Aviv RosenbergEfficient ExplorationMulti-Armed Bandits

  36. On the QUEST for Uncertainty Quantification via Highest Density Regions

    Jun 17, 2026Sam Goring, Tom Kuipers, Nicola Paoletti +1Reliable Uncertainty QuantificationQuantile Regression

  37. Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts

    Jun 15, 2026Andro SabashviliConformal PredictionLoad Forecasting

  38. Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data

    Jun 14, 2026Jeffery Opoku, David BanaheneConformal PredictionQuantile Regression

  39. Graph Diffusion Residuals for Control-Function Instrumental Variables

    Jun 12, 2026Rui Wu, Zongyuan Chen, Hong Xie +2HeteroskedasticityQuantile Regression

  40. Quantizing Time-Series Models As Dynamical Systems: Trajectory-Based Quantization Sensitivity Score

    Jun 11, 2026Mariya Pavlova, Harrison Bo Hua Zhu, Lidia Vitanova +2QuantizationQuantile Regression

  41. Report the Floor: A Training-Free Conformal Interval Is a Mandatory Baseline for Probabilistic Time-Series Forecasting

    Jun 8, 2026Valery ManokhinMultivariate ForecastingConformal Prediction

  42. Performance Variation in Deep Reinforcement Learning

    Jun 4, 2026Haruto Tanaka, A. Rupam MahmoodJoint Reinforcement LearningDeep Reinforcement Learning

  43. Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression

    Jun 4, 2026Julia Reuter, Fabricio Olivetti de FrancaReliable Uncertainty QuantificationSymbolic Regression

  44. Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels

    Jun 1, 2026Jose Marie Antonio Miñoza, Rex Gregor Laylo, Sebastian C. IbañezNumerical Weather PredictionReliable Uncertainty Quantification

  45. Iteris: Agentic Research Loops for Computational Mathematics

    Jun 1, 2026Leheng Chen, Zihao Liu, Wanyi He +1MathematicsConjecture

  46. DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction

    May 30, 2026Enver Menadjiev, Jihyeon Seong, Jisu Yeo +1Conformal PredictionQuantile Regression

  47. EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction

    May 30, 2026Dahai Yu, Rongchao Xu, Lin Jiang +1Electricity Price ForecastingPredictive Uncertainty

  48. Perturbative methods for non-parametric instrumental variable

    May 29, 2026Wei Bu, Arthur GrettonKernel Ridge RegressionPerturbation Propagation

  49. Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinQuantile RegressionSupport Vector Machines

  50. Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression

    May 28, 2026Gijs van Nieuwkoop, Siamak MehrkanoonPrecipitationQuantile Regression

  51. Stabilizing distribution-free probabilistic forecasts

    May 27, 2026Jente Van Belle, Honglin Wen, Wouter Verbeke +1Multivariate ForecastingLong-Horizon Forecasting

  52. Distribution-Aware Conformal Prediction: A Framework for generating efficient prediction intervals for time series

    May 26, 2026Daniel Schweizer, Peter Kuhn, Jayant Sharma +3Conformal PredictionQuantile Regression

  53. Reparametrizing Shampoo and SOAP for Subspace Basis Updates and BFloat16 Storage

    May 25, 2026Alan Milligan, Zikun Xu, Simon Lacoste-Julien +2Systematic Fp16 DivergenceComputational Cost

  54. A Martingale Kernel Independence Test

    May 21, 2026Felix Laumann, Zhaolu Liu, Mauricio BarahonaGeneralized U-StatisticsConditional Independence

  55. On Stability and Decomposition of Sample Quantiles under Heavy-Tailed Distributions

    May 18, 2026Choudur LakshminarayanQuantile RegressionLong-Tailed Distribution

  56. Skew-adaptive conformal prediction

    May 15, 2026Paulo C. Marques F., Helton GraziadeiConformal PredictionQuantile Regression

  57. IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning

    May 13, 2026Vahid Balazadeh, Hamidreza Kamkari, Medha Barath +2Causal InferencesQuantile Regression

  58. Multi-Quantile Regression for Extreme Precipitation Downscaling

    May 12, 2026Hamed Najafi, Gareth Lagerwall, Jayantha Obeysekera +1Dynamical DownscalingQuantile Regression

  59. Online Conformal Prediction: Enforcing monotonicity via Online Optimization

    May 12, 2026Eduardo Ochoa Rivera, Ambuj TewariConformal PredictionQuantile Regression

  60. Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting

    May 12, 2026Laura Lützow, Simone Garatti, Marco C. Campi +2Conformal PredictionFinite-Sample Coverage Guarantees