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quantile regression

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TitleStatusHype
Spatial Conformal Inference through Localized Quantile Regression—0
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift—0
Density-Calibrated Conformal Quantile Regression—0
Spatiotemporal Density Correction of Multivariate Global Climate Model Projections using Deep Learning—0
Quantile deep learning models for multi-step ahead time series predictionCode0
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density EstimationCode0
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict—0
Global Censored Quantile Random Forest—0
Generalized Distribution Prediction for Asset ReturnsCode0
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle—0
Bayesian Binary Search—0
Order of Magnitude Speedups for LLM Membership Inference—0
Robust Bond Risk Premia Predictability Test in the Quantiles—0
Quantile Regression for Distributional Reward Models in RLHFCode0
A sparse PAC-Bayesian approach for high-dimensional quantile prediction—0
Optimal Kernel Quantile Learning with Random Features—0
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement LearningCode0
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression—0
Magazine Supply Optimization: a Case-study—0
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks—0
fastkqr: A Fast Algorithm for Kernel Quantile Regression—0
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties—0
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesCode0
Quantile Regression using Random Forest Proximities—0
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties—0
Flusion: Integrating multiple data sources for accurate influenza predictions—0
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments—0
Conformal Thresholded Intervals for Efficient RegressionCode0
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video RecommendationCode0
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble ForecastsCode0
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products—0
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal InferenceCode0
Towards Deep Learning for Predicting Microbial Fuel Cell Energy Output—0
Stacking for Probabilistic Short-term Load Forecasting—0
Conformal Load Prediction with Transductive Graph AutoencodersCode1
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball LossCode1
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained OptimizationCode0
SEMF: Supervised Expectation-Maximization Framework for Predicting IntervalsCode0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
ReModels: Quantile Regression Averaging models—0
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support RecoveryCode0
A quantile-based nonadditive fixed effects model—0
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression—0
Heart Rate and Body Temperature Relationship in Children Admitted to PICU -- A Machine Learning Approach—0
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