SOTAVerified

quantile regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 420 papers

TitleStatusHype
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models—0
QRGAN: Quantile Regression Generative Adversarial Networks—0
ChePAN: Constrained Black-Box Uncertainty Modelling with Quantile Regression—0
Generalized Quantile Loss for Deep Neural Networks—0
Insurance valuation: A two-step generalised regression approach—0
Non-Crossing Quantile Regression for Distributional Reinforcement Learning—0
Bias correction for quantile regression estimators—0
Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV—0
Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall—0
Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach—0
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression—0
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning—0
Interpreting Unconditional Quantile Regression with Conditional Independence—0
A framework for predicting, interpreting, and improving Learning Outcomes—0
Bayesian Feature Selection in Joint Quantile Time Series Analysis—0
Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets—0
Quantile Factor Models—0
Decentralization Estimators for Instrumental Variable Quantile Regression Models—0
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning—0
Local Composite Quantile Regression for Regression Discontinuity—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Unconditional Quantile Regression with High Dimensional Data—0
Statistical post-processing of wind speed forecasts using convolutional neural networks—0
Non-parametric Models for Non-negative FunctionsCode0
Nearly Linear Row Sampling Algorithm for Quantile Regression—0
Horseshoe Prior Bayesian Quantile Regression—0
Hard Shape-Constrained Kernel MachinesCode0
Nonparametric Expected Shortfall Forecasting Incorporating Weighted Quantiles—0
A framework for probabilistic weather forecast post-processing across models and lead times using machine learningCode0
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction—0
Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data—0
Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning—0
Deep Learning Tubes for Tube MPC—0
Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada—0
Distributional synthetic controls—0
Censored Quantile Regression Forest—0
Quantile Causal DiscoveryCode0
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing—0
Differentiable Ranking and Sorting using Optimal Transport—0
Hybrid quantile estimation for asymmetric power GARCH models—0
Predicting Indian stock market using the psycho-linguistic features of financial news—0
Regularized Quantile Regression with Interactive Fixed Effects—0
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric LaplaciansCode0
Nested conformal prediction and quantile out-of-bag ensemble methodsCode0
A ν- support vector quantile regression model with automatic accuracy control—0
Improved error rates for sparse (group) learning with Lipschitz loss functions—0
Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions—0
A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks—0
Specification Testing in Nonparametric Instrumental Quantile Regression—0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
Show:102550
← PrevPage 7 of 9Next →

No leaderboard results yet.