Co-occurring keywords · papers mentioning both
Papers
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
JMLR 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
ICLR 2023
Optimizing Hyperparameters with Conformal Quantile Regression
ICML 2023
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
NeurIPS 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
AISTATS 2023
Scalable Membership Inference Attacks via Quantile Regression
NeurIPS 2023
Sequential Predictive Conformal Inference for Time Series
ICML 2023
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
AISTATS 2022
Additive Nonlinear Quantile Regression in Ultra-high Dimension
JMLR 2022
Bayesian quantile and expectile optimisation
UAI 2022
Capturing actionable dynamics with structured latent ordinary differential equations
UAI 2022
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
NeurIPS 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Conformalized Fairness via Quantile Regression
NeurIPS 2022
Deep Non-crossing Quantiles through the Partial Derivative
AISTATS 2022
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
NeurIPS 2022
EV-GAN: Simulation of extreme events with ReLU neural networks
JMLR 2022
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
AISTATS 2022
Quantile regression with ReLU Networks: Estimators and minimax rates
JMLR 2022
Semantic uncertainty intervals for disentangled latent spaces
NeurIPS 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
NeurIPS 2022
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
NeurIPS 2021
Conformal Prediction using Conditional Histograms
NeurIPS 2021