ridge regression

Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ICLR 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning CLeaR 2024 Multiple Descent in the Multiple Random Feature Model JMLR 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime ICLR 2024 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NeurIPS 2024 The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024 UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction NAACL 2024 Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NeurIPS 2023 Bayes-optimal Learning of Deep Random Networks of Extensive-width ICML 2023 Benign overfitting in ridge regression JMLR 2023 Deterministic equivalent and error universality of deep random features learning ICML 2023 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023 Error Bounds for Learning with Vector-Valued Random Features NeurIPS 2023 Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments SemEval 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NeurIPS 2023 Naive imputation implicitly regularizes high-dimensional linear models ICML 2023 Regularization properties of adversarially-trained linear regression NeurIPS 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Reward Imputation with Sketching for Contextual Batched Bandits NeurIPS 2023