conftrace_

quantile regression

95 papers

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QR

Co-occurring keywords

prediction interval (67) conformal prediction (215) uncertainty quantification (1393) distributional reinforcement learning (72) conditional distribution (64) neural network (6616) reproducing kernel hilbert space (334) non-parametric regression (26) conditional quantile (5) random forest (326)

Papers

Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NIPS 2022
Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021
Improving Conditional Coverage via Orthogonal Quantile Regression NIPS 2021
Probabilistic Forecasting: A Level-Set Approach NIPS 2021
Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021
The Earth Mover’s Pinball Loss: Quantiles for Histogram-Valued Regression ICML 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification NIPS 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation NIPS 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series AISTATS 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NIPS 2021
Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction JMLR 2021
Conformal Prediction using Conditional Histograms NIPS 2021
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery ICML 2020
Non-parametric Models for Non-negative Functions NIPS 2020
Nearly Linear Row Sampling Algorithm for Quantile Regression ICML 2020
High-dimensional quantile tensor regression JMLR 2020
Non-Crossing Quantile Regression for Distributional Reinforcement Learning NIPS 2020
Quantile Graphical Models: a Bayesian Approach JMLR 2020
Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus INTERSPEECH 2020
Ultra-High Dimensional Single-Index Quantile Regression JMLR 2020
Censored Quantile Regression Forest AISTATS 2020
A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020
Adaptive, Distribution-Free Prediction Intervals for Deep Networks AISTATS 2020
Hard Shape-Constrained Kernel Machines NIPS 2020
Conformalized Quantile Regression NIPS 2019