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quantile regression

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TitleStatusHype
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power PredictionCode1
Conformal Load Prediction with Transductive Graph AutoencodersCode1
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball LossCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Engression: Extrapolation through the Lens of Distributional RegressionCode1
Conformal Prediction with Missing ValuesCode1
Optimizing Hyperparameters with Conformal Quantile RegressionCode1
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value RegularizationCode1
Adaptive Conformal Prediction by Reweighting Nonconformity ScoreCode1
Sequential Predictive Conformal Inference for Time SeriesCode1
Batch Multivalid Conformal PredictionCode1
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood RiskCode1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
Fast Nonlinear Vector Quantile RegressionCode1
Censored Quantile Regression Neural Networks for Distribution-Free Survival AnalysisCode1
Gamma and Vega Hedging Using Deep Distributional Reinforcement LearningCode1
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Calibrated Multiple-Output Quantile Regression with Representation LearningCode1
Improving Conditional Coverage via Orthogonal Quantile RegressionCode1
Quantifying Uncertainty in Deep Spatiotemporal ForecastingCode1
Conformal Prediction using Conditional HistogramsCode1
Modeling tail risks of inflation using unobserved component quantile regressionsCode1
Flexible Model Aggregation for Quantile RegressionCode1
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time SeriesCode1
CRPS LearningCode1
Quantile regression with deep ReLU Networks: Estimators and minimax ratesCode1
Deep Learning for Quantile Regression under Right Censoring: DeepQuantregCode1
Fair Regression: Quantitative Definitions and Reduction-based AlgorithmsCode1
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problemsCode1
2048: Reinforcement Learning in a Delayed Reward Environment—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance—0
Safety-Aware Reinforcement Learning for Control via Risk-Sensitive Action-Value Iteration and Quantile Regression—0
Membership Inference Attacks for Unseen Classes—0
Scalable quantile predictions of peak loads for non-residential customer segments—0
Uncertainty Quantification in SVM predictionCode0
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations—0
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
Who's at Risk? Effects of Inflation on Unemployment Risk—0
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching—0
Learning Survival Distributions with the Asymmetric Laplace Distribution—0
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural NetworksCode0
Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation—0
Deep Distributional Learning with Non-crossing Quantile Network—0
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression—0
Offline and Distributional Reinforcement Learning for Wireless Communications—0
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models—0
Enhanced Route Planning with Calibrated Uncertainty Set—0
Efficient Membership Inference Attacks by Bayesian Neural Network—0
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