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quantile regression

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TitleStatusHype
Differentially Private Bootstrap: New Privacy Analysis and Inference StrategiesCode0
Conformalized Fairness via Quantile RegressionCode0
Batch Multivalid Conformal PredictionCode1
Fast Inference for Quantile Regression with Tens of Millions of Observations—0
A review of predictive uncertainty estimation with machine learning—0
Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP—0
Instrumental variable quantile regression under random right censoring—0
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm—0
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood RiskCode1
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation—0
Statistical Properties of the log-cosh Loss Function Used in Machine Learning—0
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation—0
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
Exploring Financial Networks Using Quantile Regression and Granger Causality—0
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks—0
Semantic uncertainty intervals for disentangled latent spacesCode0
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning—0
Improved conformalized quantile regression—0
Distributional neural networks for electricity price forecasting—0
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks—0
IGN : Implicit Generative NetworksCode0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified SketchesCode0
Fast Nonlinear Vector Quantile RegressionCode1
Censored Quantile Regression Neural Networks for Distribution-Free Survival AnalysisCode1
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement LearningCode0
Gamma and Vega Hedging Using Deep Distributional Reinforcement LearningCode1
Probabilistic Models for Manufacturing Lead Times—0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level—0
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models—0
Decomposition of Differences in Distribution under Sample Selection and the Gender Wage Gap—0
On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing—0
Weighted-average quantile regression—0
A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility—0
Capturing Actionable Dynamics with Structured Latent Ordinary Differential EquationsCode0
Predicting Value at Risk for Cryptocurrencies With Generalized Random Forests—0
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field ReconstructionCode0
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis—0
Tail Risk of Electricity Futures—0
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Deep Non-Crossing Quantiles through the Partial Derivative—0
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption—0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Quantile Regression under Limited Dependent Variable—0
U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth—0
Neural Multi-Quantile Forecasting for Optimal Inventory Management—0
A decomposition method to evaluate the `paradox of progress' with evidence for Argentina—0
Probabilistic Forecasting: A Level-Set Approach—0
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