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Regression

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Papers

Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
MINTY: Rule-based models that minimize the need for imputing features with missing values AISTATS 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024
When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024
Scalable Learning of Item Response Theory Models AISTATS 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets AISTATS 2024
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean AISTATS 2024
Vector Quantile Regression on Manifolds AISTATS 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data AISTATS 2024
Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024
Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024