conftrace_

linear regression

282 papers

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Co-occurring keywords

differential privacy (1016) convex optimization (1321) logistic regression (386) high-dimensional regression (142) feature selection (649) ridge regression (134) stochastic gradient descent (1091) least square (101) sample complexity (1169) robust regression (79)

Papers

Online Linear Regression with Paid Stochastic Features AAAI 2026
Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026
Optimal L2 Regularization in High-dimensional Continual Linear Regression ALT 2026
Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025
Unsupervised Automatic Short Answer Grading and Essay Scoring: A Weakly Supervised Explainable Approach ACL 2025
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025
Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary? COLING 2025
Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025
Uncovering Social Changes of the Basque Speaking Twitter Community During COVID-19 Pandemic COLING 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024
Towards a Readability Formula for Latin COLING 2024
Minimax Linear Regression under the Quantile Risk COLT 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Dropout Regularization Versus l2-Penalization in the Linear Model JMLR 2024
Linear Regression using Heterogeneous Data Batches NIPS 2024
Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text SEMEVAL 2024
Learning from many trajectories JMLR 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Design of a Data-driven Intervention Dashboard for SDG Localization IJCAI 2024
Private Learning with Public Features AISTATS 2024