| EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning | Aug 22, 2024 | Distributional Reinforcement Learningquantile regression | CodeCode Available | 0 |
| Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning | Dec 4, 2022 | quantile regression | CodeCode Available | 0 |
| Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power | Oct 4, 2017 | Decision MakingForm | CodeCode Available | 0 |
| Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimation | Nov 2, 2024 | Density Estimationquantile regression | CodeCode Available | 0 |
| Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes | Nov 4, 2022 | Prediction Intervalsquantile regression | CodeCode Available | 0 |
| Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks | May 4, 2025 | quantile regression | CodeCode Available | 0 |
| Conformal Thresholded Intervals for Efficient Regression | Jul 19, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning | Feb 13, 2024 | Multi-agent Reinforcement LearningQ-Learning | CodeCode Available | 0 |
| Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study | Aug 8, 2023 | quantile regression | CodeCode Available | 0 |
| Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches | Jun 8, 2022 | quantile regressionregression | CodeCode Available | 0 |
| Bayesian Approaches to Shrinkage and Sparse Estimation | Dec 22, 2021 | Bayesian Inferencequantile regression | CodeCode Available | 0 |
| Conformalized Fairness via Quantile Regression | Oct 5, 2022 | Conformal PredictionFairness | CodeCode Available | 0 |
| Can a single neuron learn predictive uncertainty? | Jun 7, 2021 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| Integrating Uncertainty Awareness into Conformalized Quantile Regression | Jun 14, 2023 | Prediction Intervalsquantile regression | CodeCode Available | 0 |
| Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians | Oct 27, 2019 | Decision Makingquantile regression | CodeCode Available | 0 |
| Uncertainty Quantification in SVM prediction | May 21, 2025 | feature selectionPrediction | CodeCode Available | 0 |
| Binscatter Regressions | Feb 25, 2019 | quantile regressionregression | CodeCode Available | 0 |
| Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning | May 18, 2022 | Load ForecastingPrediction Intervals | CodeCode Available | 0 |
| Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise | Jun 5, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| A Multi-Horizon Quantile Recurrent Forecaster | Nov 29, 2017 | quantile regressionregression | CodeCode Available | 0 |
| Semantic uncertainty intervals for disentangled latent spaces | Jul 20, 2022 | Image Super-Resolutionquantile regression | CodeCode Available | 0 |
| SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals | May 28, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization | May 28, 2024 | D4RLOffline RL | CodeCode Available | 0 |
| Quantile Causal Discovery | Jan 1, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 0 |
| Single-Model Uncertainties for Deep Learning | Nov 2, 2018 | Deep Learningmodel | CodeCode Available | 0 |
