quantile regression

A Differential Perspective on Distributional Reinforcement Learning AAAI 2026 Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling CVPR 2026 Conformal Graph Prediction with Z-Gromov Wasserstein Distances UAI 2026 Fast Conformal Prediction Using Conditional Interquantile Intervals AAAI 2026 Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks AAAI 2026 On Pairwise Quantile Regression - Statistical Guarantees and Applications UAI 2026 RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026 Semi-supervised learning for linear extremile regression JMLR 2026 Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context ACL 2026 TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction AAAI 2026 Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates AAAI 2025 Conformal Thresholded Intervals for Efficient Regression AAAI 2025 Deep Generative Quantile Bayes AISTATS 2025 Distributed Conformal Prediction via Message Passing ICML 2025 Distributional Reinforcement Learning with Dual Expectile-Quantile Regression UAI 2025 Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025 Kernel-based Optimally Weighted Conformal Time-Series Prediction ICLR 2025 Learning Monotonic Probabilities with a Generative Cost Model ICML 2025 Nonparametric Distributional Regression via Quantile Regression AISTATS 2025 Online Quantile Regression JMLR 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity ICLR 2025 Quantile Additive Trend Filtering AISTATS 2025 Quantile Regression with Large Language Models for Price Prediction ACL 2025 Relational Conformal Prediction for Correlated Time Series ICML 2025 Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration IJCAI 2025