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quantile regression

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AIgen/QOOB

공식 코드

Nested conformal prediction and quantile out-of-bag ensemble methods

https://github.com/BBVA/UMAL

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Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

https://github.com/CCaribe9/HQR-WACI

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Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference

https://github.com/LaurensSluyterman/XGBoost_quantile_regression

공식 코드

Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss

https://github.com/Monoxido45/EPICSCORE

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Epistemic Uncertainty in Conformal Scores: A Unified Approach

https://github.com/PCAubin/Hard-Shape-Constraints-for-Kernels

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Hard Shape-Constrained Kernel Machines

https://github.com/RichardBean/IEEE-Predict-Optimize-Challenge

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Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge

https://github.com/Shai128/oqr

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Improving Conditional Coverage via Orthogonal Quantile Regression

https://github.com/Unco3892/semf-paper

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SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals

https://github.com/WangCaixing-96/Kernel_CS

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Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift

https://github.com/YufanChang/Optimal-Adaptive-Prediciton-Interval

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Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning

https://github.com/Zhanyu-Wang/Differentially_Private_Bootstrap

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Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies

https://github.com/acstutts/ceqr-dqn

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Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning

https://github.com/ailab-units/cqr_quantitative_npm

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Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes

https://github.com/ajoshiusc/qrvae

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Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection

https://github.com/alextimans/conformal-od

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Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

https://github.com/alfonsogijon/WindTurbines_hybrid

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Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction

https://github.com/alherit/cr-dqn

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A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning

https://github.com/amazon-research/quantile-aggregation

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Flexible Model Aggregation for Quantile Regression

https://github.com/batuceng/max_quantile

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Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimation

https://github.com/benediktschulz/paper_pp_wind_gusts

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Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison

https://github.com/berrij/profoc

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CRPS Learning

https://github.com/boschresearch/dist-mbrl

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Value-Distributional Model-Based Reinforcement Learning

https://github.com/bpkindo/bayesqart

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Bayesian quantile additive regression trees

https://github.com/chaowenzheng/dynamic-network-quantile-model

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Dynamic Network Quantile Regression Model

https://github.com/charliekirkwood/mlpostprocessing

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A framework for probabilistic weather forecast post-processing across models and lead times using machine learning

https://github.com/dlr-mi/pim

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Can a single neuron learn predictive uncertainty?

https://github.com/elena-orlova/SSF-project

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Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting

https://github.com/eslam211/conservative-and-distributional-marl

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Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning

https://github.com/facebookresearch/SingleModelUncertainty

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Single-Model Uncertainties for Deep Learning

https://github.com/feizhe/HDCQR_Paper

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Inference for High Dimensional Censored Quantile Regression

https://github.com/felix-thu/AlignIQL

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AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization

https://github.com/filippomb/ensemble-conformalized-quantile-regression

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Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting

https://github.com/geoalgo/syne-tune

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Optimizing Hyperparameters with Conformal Quantile Regression

https://github.com/h3jia/nqe

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Simulation-Based Inference with Quantile Regression

https://github.com/haifengwen/distributed-conformal-prediction

공식 코드

Distributed Conformal Prediction via Message Passing

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