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quantile regression

Papers

Showing 251300 of 420 papers

TitleStatusHype
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents0
Dynamic Network Quantile Regression ModelCode0
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting0
Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression0
Bootstrap inference for panel data quantile regression0
Risk and return prediction for pricing portfolios of non-performing consumer credit0
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees0
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources0
Calibrated Multiple-Output Quantile Regression with Representation LearningCode1
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement LearningCode0
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning0
Conditional Generative Quantile Networks via Optimal Transport and Convex Potentials0
bqror: An R package for Bayesian Quantile Regression in Ordinal Models0
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
The Use of Quantile Methods in Economic History0
Quantifying Uncertainty for Machine Learning Based Diagnostic0
Inference for High Dimensional Censored Quantile RegressionCode0
Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
The unreasonable effectiveness of optimal transport in economics0
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparisonCode0
Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation0
Understanding the Under-Coverage Bias in Uncertainty Estimation0
Can a single neuron learn predictive uncertainty?Code0
Deep learning-based multi-output quantile forecasting of PV generation0
Improving Conditional Coverage via Orthogonal Quantile RegressionCode1
Quantifying Uncertainty in Deep Spatiotemporal ForecastingCode1
A Tale of Two Tails: A Model-free Approach to Estimating Disaster Risk Premia and Testing Asset Pricing Models0
Conformal Prediction using Conditional HistogramsCode1
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery0
Probabilistic water demand forecasting using quantile regression algorithms0
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling0
Modeling Censored Mobility Demand through Quantile Regression Neural Networks0
Modeling tail risks of inflation using unobserved component quantile regressionsCode1
Panel semiparametric quantile regression neural network for electricity consumption forecasting0
Flexible Model Aggregation for Quantile RegressionCode1
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time SeriesCode1
Vector quantile regression and optimal transport, from theory to numerics0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Regularization Strategies for Quantile Regression0
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing0
A first-stage representation for instrumental variables quantile regression0
CRPS LearningCode1
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach0
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models0
ChePAN: Constrained Black-Box Uncertainty Modelling with Quantile Regression0
QRGAN: Quantile Regression Generative Adversarial Networks0
Generalized Quantile Loss for Deep Neural Networks0
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