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Regression

195 directly classified papers

Papers per year

Papers

Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025
High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025
FuocChuVIP123 at CoMeDi Shared Task: Disagreement Ranking with XLM-Roberta Sentence Embeddings and Deep Neural Regression COLING 2025
Online Quantile Regression JMLR 2025
Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025
Explaining Holistic Essay Scores in Comparative Judgment Assessments by Predicting Scores on Rubrics ACL 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Estimation of Text Difficulty in the Context of Language Learning ACL 2025
Scene-agnostic Pose Regression for Visual Localization CVPR 2025
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract) AAAI 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024
A Bit of a Problem: Measurement Disparities in Dataset Sizes across Languages COLING 2024
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing AAAI 2024
On the Optimality of Misspecified Spectral Algorithms JMLR 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024
Regression Aware Inference with LLMs EMNLP 2024