quantile regression

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians NeurIPS 2019 Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019 Single-Model Uncertainties for Deep Learning NeurIPS 2019 Autoregressive Quantile Networks for Generative Modeling ICML 2018 Implicit Quantile Networks for Distributional Reinforcement Learning ICML 2018 Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning NeurIPS 2018 Forest-type Regression with General Losses and Robust Forest ICML 2017 High-Dimensional Structured Quantile Regression ICML 2017 Joint quantile regression in vector-valued RKHSs NeurIPS 2016 On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016 The Multiple Quantile Graphical Model NeurIPS 2016 Elicitation and Identification of Properties COLT 2014 Parametric Task Learning NeurIPS 2013 Quantile Regression for Large-scale Applications ICML 2013 How SVMs can estimate quantiles and the median NeurIPS 2007 Nonparametric Quantile Estimation JMLR 2006 Quantile Regression Forests JMLR 2006