| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 | 5 |
| A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds | Oct 18, 2021 | Additive modelsDecision Making | CodeCode Available | 0 | 5 |
| Interpolation can hurt robust generalization even when there is no noise | Aug 5, 2021 | regression | CodeCode Available | 0 | 5 |
| Canonical Correlation Forests | Jul 20, 2015 | General Classificationregression | CodeCode Available | 0 | 5 |
| Can Transformers Do Enumerative Geometry? | Aug 27, 2024 | Activation Function SynthesisCausal Inference | CodeCode Available | 0 | 5 |
| Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits | Jan 21, 2024 | Multi-Armed Banditsregression | CodeCode Available | 0 | 5 |
| A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records | Jan 20, 2022 | regression | CodeCode Available | 0 | 5 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |
| A Multi-Horizon Quantile Recurrent Forecaster | Nov 29, 2017 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays | Aug 27, 2019 | Generative Adversarial Networkregression | CodeCode Available | 0 | 5 |
| Interpreting Tree Ensembles with inTrees | Aug 23, 2014 | Future predictionGeneral Classification | CodeCode Available | 0 | 5 |
| Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts | Jul 2, 2024 | Decision Makingquantile regression | CodeCode Available | 0 | 5 |
| Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data | Oct 1, 2024 | feature selectionregression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Adversarial Regression with Multiple Learners | Jun 6, 2018 | regression | CodeCode Available | 0 | 5 |
| Dynamics of Local Elasticity During Training of Neural Nets | Nov 1, 2021 | regression | CodeCode Available | 0 | 5 |
| IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery | Jul 7, 2019 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving | Mar 2, 2025 | Autonomous DrivingClassification | CodeCode Available | 0 | 5 |
| Iterative Distributed Multinomial Regression | Dec 2, 2024 | Computational EfficiencyDistributed Computing | CodeCode Available | 0 | 5 |
| Iterative Hessian Sketch in Input Sparsity Time | Oct 30, 2019 | regression | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| Distributed linear regression by averaging | Sep 30, 2018 | regression | CodeCode Available | 0 | 5 |
