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Regression

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Papers

Online Linearized LASSO AISTATS 2023
Risk-aware linear bandits with convex loss AISTATS 2023
Data Augmentation for Imbalanced Regression AISTATS 2023
Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023
Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis AISTATS 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023
Conformalized Unconditional Quantile Regression AISTATS 2023
Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023
Balanced Off-Policy Evaluation for Personalized Pricing AISTATS 2023
Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023
Average case analysis of Lasso under ultra sparse conditions AISTATS 2023
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023
Regression as Classification: Influence of Task Formulation on Neural Network Features AISTATS 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023
Spatially Adaptive Online Prediction of Piecewise Regular Functions ALT 2023
A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023
Semi-Random Sparse Recovery in Nearly-Linear Time COLT 2023
Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning COLT 2023
Causal Matrix Completion COLT 2023