| A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression | Dec 1, 2019 | regression | CodeCode Available | 0 | 5 |
| ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment | Mar 29, 2022 | Face AlignmentFacial Landmark Detection | CodeCode Available | 0 | 5 |
| A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression | Oct 28, 2019 | regression | CodeCode Available | 0 | 5 |
| Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods | Jul 24, 2024 | regression | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |
| End-to-End Probabilistic Inference for Nonstationary Audio Analysis | Jan 31, 2019 | Audio Signal Processingregression | CodeCode Available | 0 | 5 |
| End-to-End Learning of Geometry and Context for Deep Stereo Regression | Mar 13, 2017 | regressionStereo-LiDAR Fusion | CodeCode Available | 0 | 5 |
| A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning | Oct 1, 2021 | Distributional Reinforcement Learningquantile regression | CodeCode Available | 0 | 5 |
| EnergyStar++: Towards more accurate and explanatory building energy benchmarking | Oct 30, 2019 | Benchmarkingenergy management | CodeCode Available | 0 | 5 |
| Emotion Intensities in Tweets | Aug 11, 2017 | regression | CodeCode Available | 0 | 5 |
| Kernel Instrumental Variable Regression | Jun 1, 2019 | regression | CodeCode Available | 0 | 5 |
| Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression | Jan 25, 2024 | Feature Engineeringregression | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Estimation of motion blur kernel parameters using regression convolutional neural networks | Aug 2, 2023 | Blind Image DeblurringDeblurring | CodeCode Available | 0 | 5 |
| Fair Regression for Health Care Spending | Jan 28, 2019 | Fairnessregression | CodeCode Available | 0 | 5 |
| Efficient Truncated Linear Regression with Unknown Noise Variance | Aug 25, 2022 | regression | CodeCode Available | 0 | 5 |
| A feature selection method based on Shapley values robust to concept shift in regression | Apr 28, 2023 | feature selectionregression | CodeCode Available | 0 | 5 |
| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| A novel gradient-based method for decision trees optimizing arbitrary differential loss functions | Mar 22, 2025 | regressionSurvival Analysis | CodeCode Available | 0 | 5 |
| Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression | Jun 8, 2016 | regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach | Mar 22, 2023 | Model Discoveryregression | CodeCode Available | 0 | 5 |
| Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging | Nov 2, 2021 | Bayesian InferenceEEG | CodeCode Available | 0 | 5 |
| Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits | Feb 17, 2024 | Computational EfficiencyEfficient Exploration | CodeCode Available | 0 | 5 |
| Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype | Sep 12, 2023 | Image ReconstructionPosition | CodeCode Available | 0 | 5 |
| Efficient expectation propagation for posterior approximation in high-dimensional probit models | Sep 4, 2023 | regression | CodeCode Available | 0 | 5 |
