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quantile regression

118 papers

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QR

Co-occurring keywords · papers mentioning both

conformal prediction (24) prediction interval (18) uncertainty quantification (15) distributional reinforcement learning (7) nonparametric regression (5) time series forecasting (5) high-dimensional regression (5) conditional distribution (5) conditional quantile (5) neural network (5)

Papers

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction ECCV 2024 Conditional Outcome Equivalence: A Quantile Alternative to CATE NeurIPS 2024 Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery ICML 2024 Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression ICML 2024 Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024 Membership Inference Attacks on Diffusion Models via Quantile Regression ICML 2024 Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks JMLR 2024 Optimal Kernel Quantile Learning with Random Features ICML 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024 Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise ICML 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 Simulation-Based Inference with Quantile Regression ICML 2024 Value-Distributional Model-Based Reinforcement Learning JMLR 2024 Vector Quantile Regression on Manifolds AISTATS 2024 Adaptive Conditional Quantile Neural Processes UAI 2023 Batch Multivalid Conformal Prediction ICLR 2023 Calibrated Multiple-Output Quantile Regression with Representation Learning JMLR 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Conformalized Unconditional Quantile Regression AISTATS 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Conformal Prediction with Missing Values ICML 2023 Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023 Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023