regression

A Characterization of List Regression ALT 2025 AKORN: Adaptive Knots generated Online for RegressioN splines ICML 2025 Curvature Enhanced Data Augmentation for Regression ICML 2025 Features are fate: a theory of transfer learning in high-dimensional regression ICML 2025 Gradient Aligned Regression via Pairwise Losses ICML 2025 Open Problem: Data Selection for Regression Tasks COLT 2025 Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression ICML 2025 Strategyproof Learning with Advice ALT 2025 Stroke Patches: Customizable Artistic Image Styling Using Regression NeurIPS 2025 H-Consistency Guarantees for Regression ICML 2024 AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models AutoML 2024 Beyond the Norms: Detecting Prediction Errors in Regression Models ICML 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Hybrid Neural Representations for Spherical Data ICML 2024 Multiply-Robust Causal Change Attribution ICML 2024 Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms ICML 2024 Regression with Multi-Expert Deferral ICML 2024 Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens ICML 2024 Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Additive Gaussian Processes NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Learning Non-Linear Combinations of Kernels NeurIPS 2009