l2 regularization

Optimal L2 Regularization in High-dimensional Continual Linear Regression ALT 2026 Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks AISTATS 2025 Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression AISTATS 2025 Dropout Regularization Versus l2-Penalization in the Linear Model JMLR 2024 Stability and L2-penalty in Model Averaging JMLR 2024 The Transient Nature of Emergent In-Context Learning in Transformers NeurIPS 2023 Asymptotics of ℓ_2 Regularized Network Embeddings NeurIPS 2022 Feature Learning in L_2-regularized DNNs: Attraction/Repulsion and Sparsity NeurIPS 2022 An algorithmic view of L2 regularization and some path-following algorithms JMLR 2021 Learning with Hyperspherical Uniformity AISTATS 2021 Neural Pruning via Growing Regularization ICLR 2021 Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021 Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021 Understanding Decoupled and Early Weight Decay AAAI 2021 Autoencoders that don't overfit towards the Identity NeurIPS 2020 Distributionally Robust Neural Networks ICLR 2020 On the training dynamics of deep networks with L_2 regularization NeurIPS 2020 Fast Automatic Smoothing for Generalized Additive Models JMLR 2019 Three Mechanisms of Weight Decay Regularization ICLR 2019 What is the Effect of Importance Weighting in Deep Learning? ICML 2019 Collaboratively Weighting Deep and Classic Representation via l_2 Regularization for Image Classification ACML 2018 A Second-order Look at Stability and Generalization COLT 2017 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016 Learning with Symmetric Label Noise: The Importance of Being Unhinged NeurIPS 2015