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

Learning from many trajectories 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
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024
On the relationship between speech production and vocabulary size in 3-5 year olds INTERSPEECH 2024
Private Learning with Public Features AISTATS 2024
Uncovering Social Changes of the Basque Speaking Twitter Community During COVID-19 Pandemic COLING 2024
Robust Sparse Regression with Non-Isotropic Designs NIPS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Design of a Data-driven Intervention Dashboard for SDG Localization IJCAI 2024
High-dimensional (Group) Adversarial Training in Linear Regression NIPS 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text NAACL 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Understanding the Gains from Repeated Self-Distillation NIPS 2024
Emergence of heavy tails in homogenized stochastic gradient descent NIPS 2024
Test-Time Linear Out-of-Distribution Detection CVPR 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable NIPS 2024
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
Zeroth-order Optimization with Weak Dimension Dependency COLT 2023
Differentially Private Hypothesis Testing for Linear Regression JMLR 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023