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Implicit Quantile Neural Networks for Jet Simulation and Correction
Reliable modeling of conditional densities is important for quantitative scientific fields such as particle physics. Implicit Quantile Neural Networks (IQNs) have been shown to... -
VRE Impact on System Electricity Price and Volatility
The dataset used in this study consists of hourly, real-time, historical data from six Independent System Operators (ISOs) in the U.S. using quantile and skew t-distribution... -
Motorcycle Dataset
The dataset used in the paper is a motorcycle dataset, which is used to evaluate the proposed algorithm. -
Data for labor supply models
Data for labor supply models -
Simulated data for censored quantile regression
Simulated data for censored quantile regression -
Quantile regression for robust estimation of uncertainty in the presence of o...
Quantile regression for uncertainty estimation in regression tasks such as image translation and anomaly detection in medical imaging. -
Distributional Reinforcement Learning with Quantile Regression
Distributional reinforcement learning with quantile regression